A stem cell evaluation method and system based on image analysis

Abstract

The present invention discloses a stem cell evaluation method and system based on image analysis, relates to the medical field, solves the problem of poor evaluation effect of the stem cell evaluation method, comprises step S1: obtaining stem cell density monitoring data; step S2: creating a cell type classification statistical model to perform density analysis on multiple different types of stem cells, and obtain a first stem cell quality evaluation coefficient; step S3: performing stem cell shape analysis on a patient, and obtain a second stem cell quality evaluation coefficient; step S4: performing stem cell activity analysis on the patient, and obtain a third stem cell quality evaluation coefficient; step S5: performing a comprehensive stem cell quality evaluation on the patient according to the first stem cell quality evaluation coefficient, the second stem cell quality evaluation coefficient and the third stem cell quality evaluation coefficient. The present invention improves the comprehensiveness, accuracy and pertinence of the stem cell quality evaluation result.

Description

Technical Field

[0001] The present invention belongs to the medical field and relates to image analysis technology, in particular to a stem cell evaluation method and system based on image analysis. Background Art

[0002] Existing stem cell assessment methods have the following specific defects when evaluating patients’ stem cells through stem cell images:

[0003] 1. Existing stem cell assessment methods only perform static assessment of the number of stem cells through a single image, which cannot capture the dynamic changes of stem cells during image analysis, and easily lead to inaccurate assessment results;

[0004] 2. The existing stem cell evaluation methods do not distinguish the types of stem cells in the images during the analysis of stem cell images, so it is impossible to formulate corresponding indicators for evaluation, which leads to a lack of pertinence in the evaluation results;

[0005] To this end, we propose a stem cell evaluation method and system based on image analysis. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention aims to provide a stem cell evaluation method and system based on image analysis. The present invention is based on obtaining a stem cell evaluation cycle, marking a number of characteristic monitoring time points within the stem cell evaluation cycle, respectively obtaining a patient stem cell image corresponding to each characteristic monitoring time point, obtaining stem cell density monitoring data, creating a cell type classification statistical model based on the stem cell density monitoring data, performing type classification and quantity statistics on the stem cells in each patient stem cell image, obtaining the stem cell density coefficient corresponding to each stem cell evaluation cycle based on the statistical results, and analyzing and obtaining a first stem cell density deviation coefficient to obtain stem cell density monitoring data, and then generating a stem cell density monitoring image based on the stem cell density monitoring data and the stem cell monitoring image. The morphological factors of the stem cells in each patient's stem cell image are acquired by image data, and the morphological quality coefficient corresponding to each stem cell assessment cycle is obtained by analysis. A second stem cell density deviation coefficient is obtained by calculating multiple morphological quality coefficients. A cell activity monitoring rectangular coordinate system is established in each patient's stem cell image. The displacement rates of multiple different types of stem cells between image acquisition intervals are analyzed through the cell activity monitoring rectangular coordinate system to obtain multiple activity quality coefficients. A third stem cell density deviation coefficient is obtained by calculating multiple activity quality coefficients. A comprehensive stem cell quality assessment of the patient is performed based on the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient and the third stem cell quality assessment coefficient.

[0007] In order to achieve the above object, the present invention adopts the following technical solution: a stem cell evaluation method based on image analysis, comprising the following specific steps:

[0008] Step S1: obtaining a stem cell evaluation cycle, marking a number of characteristic monitoring time points within the stem cell evaluation cycle, respectively obtaining a patient stem cell image corresponding to each characteristic monitoring time point, and obtaining stem cell density monitoring data;

[0009] Step S2: creating a cell type classification statistical model based on the stem cell density monitoring data to classify the types and count the number of stem cells in each patient's stem cell image, obtaining the stem cell density coefficient corresponding to each stem cell evaluation cycle based on the statistical results, and analyzing and obtaining the first stem cell density deviation coefficient to obtain the stem cell density monitoring data;

[0010] Step S3: acquiring morphological factors of stem cells in each patient's stem cell image according to the stem cell density monitoring data and the stem cell monitoring image data, and analyzing to obtain the morphological quality coefficient corresponding to each stem cell evaluation cycle, and obtaining the second stem cell density deviation coefficient by calculating multiple morphological quality coefficients;

[0011] Step S4: establishing a cell activity monitoring rectangular coordinate system in each patient stem cell image, analyzing the displacement rates of multiple different types of stem cells between image acquisition intervals through the cell activity monitoring rectangular coordinate system, obtaining multiple activity quality coefficients, and obtaining a third stem cell density deviation coefficient by calculating the multiple activity quality coefficients;

[0012] Step S5: Performing a comprehensive stem cell quality assessment on the patient according to the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient, and the third stem cell quality assessment coefficient.

[0013] Furthermore, the step S1 further includes the following specific steps:

[0014] Step S11: in the process of evaluating the patient's stem cells, a fixed-length stem cell evaluation specific period is set, the time point corresponding to the current time value is marked as the first cycle characteristic time point, the time point corresponding to the stem cell evaluation specific period before the first cycle characteristic time point is marked as the second cycle characteristic time point, and the period between the first cycle characteristic time point and the second cycle characteristic time point is defined as the stem cell evaluation period;

[0015] Step S12: dividing the stem cell evaluation cycle into a number of cell evaluation sub-cycles, and naming the divided cell evaluation sub-cycles as the first cell evaluation sub-cycle to the xth cell evaluation sub-cycle in chronological order, and the time intervals corresponding to every two consecutive cell evaluation sub-cycles are the same;

[0016] Step S13: acquiring stem cell images of the patient in the first cell assessment sub-cycle to obtain first cycle image data;

[0017] Step S14: in the first cell evaluation sub-cycle, mark an evaluation monitoring time point every time a sample evaluation duration is passed, to obtain a plurality of evaluation monitoring time points, and name the obtained plurality of evaluation monitoring time points as the first monitoring time point to the jth monitoring time point in the order of the marking time;

[0018] Step S15: Acquire the stem cell microscope images of the patient corresponding to the first monitoring time point to the jth monitoring time point, obtain the first stem cell image to the jth stem cell image, and name the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle as the first cycle image data;

[0019] Step S16: acquiring the periodic image data corresponding to the second cell evaluation sub-period to the x-th cell evaluation sub-period respectively, to obtain the second periodic image data to the x-th periodic image data;

[0020] Step S17: defining the first cycle image data to the xth cycle image data as stem cell monitoring image data.

[0021] Furthermore, the step S2 further includes the following specific steps:

[0022] Step S21: Acquire stem cell monitoring image data, and acquire first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data;

[0023] Step S22: setting a plurality of different types of monitoring target stem cells respectively, and naming them as the first target stem cell to the mth target stem cell respectively;

[0024] Step S23: creating a statistical model for cell type classification;

[0025] Step S24: performing stem cell density analysis on the first cycle image data, and obtaining a stem cell density coefficient corresponding to the first cycle image data to obtain a first stem cell density deviation coefficient;

[0026] Step S25: performing stem cell density analysis on the second cycle image data to the xth cycle image data respectively to obtain the second stem cell density deviation coefficient to the xth stem cell density deviation coefficient;

[0027] Step S26: Calculate the average of the first stem cell density deviation coefficient to the xth stem cell density deviation coefficient to obtain the average deviation coefficient of the periodic stem cell density, and calculate the variance of the first stem cell density deviation coefficient to the xth stem cell density deviation coefficient to obtain the variance of the periodic stem cell density deviation coefficient;

[0028] Step S27: Calculating the average deviation coefficient of the cycle stem cell density and the variance of the deviation coefficient of the cycle stem cell density to obtain a first stem cell quality assessment coefficient;

[0029] The first stem cell quality assessment coefficient is calculated, and the specific formula is as follows:

[0030] ;

[0031] Among them, Zlp1 is the first stem cell quality assessment coefficient, Mpp is the mean deviation coefficient of cycle stem cell density, and Mfc is the variance of the deviation coefficient of cycle stem cell density;

[0032] Step S28: defining the first target stem cell to the mth target stem cell, the first stem cell quality assessment coefficient, and the cell type classification statistical model as stem cell density monitoring data;

[0033] The step S23 further includes the following specific steps:

[0034] Step S231: using big data crawler technology to obtain multiple stem cell microscope images using stem cell microscope images as keywords, marking the type of each stem cell in each stem cell microscope image, obtaining multiple stem cell labeled images, and obtaining stem cell image labeled data;

[0035] Step S232: dividing the stem cell image labeled data into a stem cell image training set and a stem cell image test set according to the image training test ratio;

[0036] Step S233: creating an image recognition model through an existing artificial intelligence platform, and training the image recognition model using the stem cell image training set, until each stem cell labeled image in the stem cell image training set has trained the image recognition model once;

[0037] Step S234: Use the stem cell image test set to test the image recognition model and obtain the recognition accuracy. When the recognition accuracy is greater than or equal to the target recognition accuracy, the image recognition model training is completed and a cell type classification statistical model is obtained. When the recognition accuracy is less than the target recognition accuracy, continue to use the stem cell image training set to train the image recognition model until the recognition accuracy is greater than or equal to the target recognition accuracy.

[0038] Furthermore, the step S24 further includes the following specific steps:

[0039] Step S241: acquiring the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data;

[0040] Step S242: using the cell type classification statistical model to perform quantitative statistics on the first target stem cells in the first stem cell image to the jth stem cell image, respectively, to obtain j first target stem cell quantity values, and calculating the average of the obtained multiple first target stem cells to obtain an average quantity value of the first target stem cells;

[0041] Step S243: obtaining the area values ​​of the human tissue samples corresponding to the first stem cell image to the jth stem cell image, obtaining the first tissue area value to the jth tissue area value, calculating the average of the first tissue area value and the jth tissue area value, and obtaining the average area value of the monitored tissue;

[0042] Step S244: Calculate the ratio of the average number of first target stem cells to the average area of ​​the monitored tissue to obtain a first target stem cell monitoring density value;

[0043] Step S245: respectively acquiring the stem cell monitoring density values ​​corresponding to the second target stem cell to the mth target stem cell, and obtaining the second target stem cell monitoring density value to the mth target stem cell monitoring density value;

[0044] Step S246: respectively obtaining reference cell density values ​​of the first target stem cell to the mth target stem cell in the tissue region corresponding to the average area value of the monitored tissue, to obtain the first reference cell density value to the mth reference cell density value;

[0045] Step S247: calculating the first stem cell density deviation coefficient from the first target stem cell monitoring density value to the mth target stem cell monitoring density value and from the first reference cell density value to the mth reference cell density value;

[0046] The first stem cell density deviation coefficient is calculated, and the specific formula is as follows:

[0047] ;

[0048] Among them, Gpc1 is the first stem cell density deviation coefficient, Mdz1 to Mdzm are respectively the first target stem cell monitoring density value to the mth target stem cell monitoring density value, and Mjz1 to Mjzm are respectively the first reference cell density value to the mth reference cell density value.

[0049] Furthermore, the step S3 further includes the following specific steps:

[0050] Step S31: Acquire stem cell monitoring image data, and acquire first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data;

[0051] Step S32: Acquire stem cell density monitoring data, and acquire a cell type classification statistical model and the first target stem cell to the mth target stem cell according to the stem cell density monitoring data;

[0052] Step S33: performing tissue stem cell morphology quality analysis on the first cycle image data to obtain a cell morphology quality coefficient corresponding to the first cycle image data, and naming it a first morphology quality coefficient;

[0053] Step S34: acquiring the morphological quality coefficients corresponding to the second period image data to the xth period image data respectively, to obtain the second morphological quality coefficient to the xth morphological quality coefficient;

[0054] Step S35: Calculate the average of the first morphological quality coefficient to the xth morphological quality coefficient to obtain the average deviation coefficient of the morphology of the cycled stem cells;

[0055] Step S36: Calculate the variance of the first morphology quality coefficient to the xth morphology quality coefficient to obtain the variance of the periodic morphology quality coefficient;

[0056] Step S37: Calculate the average deviation coefficient of the cycle stem cell morphology and the variance of the cycle morphology quality coefficient to obtain a second stem cell quality assessment coefficient;

[0057] The second stem cell quality assessment coefficient is calculated, and the specific formula is as follows:

[0058] ;

[0059] Among them, Zlp2 is the second stem cell quality assessment coefficient, Xtp is the average deviation coefficient of cycle stem cell morphology, and Xfc is the variance of cycle morphology quality coefficient.

[0060] Furthermore, the step S33 further includes the following specific steps:

[0061] Step S331: acquiring the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data;

[0062] Step S332: using a cell type classification statistical model to mark the first target stem cells in the first stem cell image to the jth stem cell image to obtain a plurality of first target stem cells, and marking a characteristic target stem cell among the plurality of first target stem cells obtained, and naming the first characteristic stem cell;

[0063] Step S333: acquiring an area value of the first characteristic stem cell in the first stem cell image to obtain a first characteristic area value;

[0064] Step S334: acquiring a perimeter value of the first characteristic stem cell in the first stem cell image to obtain a first characteristic perimeter value;

[0065] Step S335: Calculating the first characteristic area value and the first characteristic perimeter value to obtain a shape factor corresponding to the first characteristic stem cell;

[0066] The shape factor corresponding to the first characteristic stem cell is calculated, and the specific formula is as follows:

[0067] ;

[0068] Among them, Xzy is the shape factor corresponding to the first characteristic stem cell, Zct is the first characteristic perimeter value, and Mjt is the first characteristic area value;

[0069] Step S336: acquiring a shape factor for each first target stem cell in the first stem cell image to obtain a plurality of shape factors, and averaging the plurality of shape factors to obtain an average shape factor corresponding to the first target stem cell, thereby obtaining a first average shape factor;

[0070] Step S337: respectively acquiring the average shape factors corresponding to the second target stem cell to the mth target stem cell to obtain the second shape factor to the mth shape factor;

[0071] Step S338: acquiring reference shape factors corresponding to the first target stem cell and the mth target stem cell in the first stem cell image, and obtaining the first reference shape factor to the mth reference shape factor;

[0072] Step S339: obtaining a first morphological quality coefficient by calculating the first shape factor to the m-th shape factor and the first reference shape factor to the m-th reference shape factor;

[0073] The first form quality coefficient is calculated, and the specific formula is as follows:

[0074] ;

[0075] Among them, Xtx1 is the first morphological quality coefficient, Xyz1 to Xyzm are the first shape factor to the mth shape factor, Xyj1 to Xyjm are the first reference shape factor to the mth reference shape factor, and m is the number of types corresponding to the target stem cells.

[0076] Furthermore, the step S4 further includes the following specific steps:

[0077] Step S41: acquiring stem cell monitoring image data, and acquiring first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data;

[0078] Step S42: Acquire stem cell density monitoring data, and acquire a cell type classification statistical model and the first target stem cell to the mth target stem cell according to the stem cell density monitoring data;

[0079] Step S43: performing tissue stem cell activity quality analysis on the first cycle image data to obtain a cell activity quality coefficient corresponding to the first cycle image data, and naming it a first activity quality coefficient;

[0080] Step S44: acquiring the activity quality coefficients corresponding to the second period image data to the xth period image data respectively, to obtain the second activity quality coefficient to the xth activity quality coefficient;

[0081] Step S45: Calculate the average of the first activity mass coefficient to the xth activity mass coefficient to obtain the average deviation coefficient of the activity of the periodic stem cells;

[0082] Step S46: Calculating the variance of the first activity mass coefficient to the xth activity mass coefficient to obtain the variance of the periodic activity mass coefficient;

[0083] Step S47: Calculate the average deviation coefficient of the cycle stem cell density and the variance of the cycle activity quality coefficient to obtain a third stem cell quality assessment coefficient;

[0084] The third stem cell quality assessment coefficient is calculated, and the specific formula is as follows:

[0085] ;

[0086] Among them, Zlp3 is the third stem cell quality assessment coefficient, Hxp is the mean deviation coefficient of cycle stem cell activity, and Hfc is the variance of the cycle activity quality coefficient.

[0087] Furthermore, the step S43 further includes the following specific steps:

[0088] Step S431: acquiring the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data;

[0089] Step S432: using a cell type classification statistical model to mark the first target stem cells in the first stem cell image to the jth stem cell image to obtain a plurality of first target stem cells, selecting a first target stem cell from the plurality of first target stem cells as a sample target stem cell, and naming the first sample target stem cell;

[0090] Step S433: In the first stem cell image, the lower left end point of the image is marked as the coordinate origin, a straight line is drawn through the coordinate origin parallel to the upper border of the image to obtain the coordinate x-axis, and a straight line is drawn through the coordinate origin perpendicular to the coordinate y-axis to obtain the coordinate y-axis, and the plane rectangular coordinate system composed of the coordinate origin, the coordinate x-axis and the coordinate y-axis is named as the cell activity monitoring rectangular coordinate system, and the cell activity monitoring rectangular coordinate system is established in the second stem cell image to the jth stem cell image respectively;

[0091] Step S434: obtaining the acquisition interval time corresponding to the first stem cell image and the second stem cell image to obtain the first image acquisition interval time, obtaining the acquisition interval time corresponding to the second stem cell image and the third stem cell image to obtain the second image acquisition interval time, and so on, obtaining the acquisition interval time corresponding to the j-1 stem cell image and the j-1 stem cell image to obtain the j-1 image acquisition interval time.

[0092] Step S435: obtaining the monitored displacement rate of the first sample target stem cells in the first cell evaluation sub-cycle;

[0093] Step S436: acquiring the monitored displacement rate of each first target stem cell in the first cell evaluation sub-cycle respectively to obtain a plurality of monitored displacement rates, and calculating the average of the obtained plurality of monitored displacement rates to obtain the actual displacement rate of the first target stem cell;

[0094] Step S437: respectively acquiring the actual displacement rates of the second target stem cell to the mth target stem cell in the first cell evaluation sub-cycle to obtain the actual displacement rate of the second target stem cell to the actual displacement rate of the mth target stem cell;

[0095] Step S438: respectively acquiring reference displacement rates in the first cell evaluation sub-period corresponding to the first target stem cell to the mth target stem cell, and obtaining reference displacement rates of the first target stem cell to the mth target stem cell;

[0096] Step S439: obtaining a first active mass coefficient by calculating the actual displacement rate of the first target stem cell to the actual displacement rate of the mth target stem cell and the reference displacement rate of the first target stem cell to the reference displacement rate of the mth target stem cell;

[0097] The first active mass coefficient is calculated, and the specific formula is as follows:

[0098] ;

[0099] Wherein, Hx1 is the first active mass coefficient, Ws1 to Wsm are respectively the actual displacement rate of the first target stem cell to the actual displacement rate of the mth target stem cell, and Wj1 to Wjm are respectively the reference displacement rate of the first target stem cell to the reference displacement rate of the mth target stem cell;

[0100] The step S435 further includes the following specific steps:

[0101] Step S4351: in the first stem cell image, obtaining the coordinate position of the first sample target stem cell in the cell activity monitoring rectangular coordinate system to obtain a first coordinate position;

[0102] Step S4352: in the second stem cell image, obtaining the coordinate position of the first sample target stem cell in the cell activity monitoring rectangular coordinate system to obtain a second coordinate position;

[0103] Step S4353: The first coordinate position, the second coordinate position and the first image acquisition interval are calculated to obtain a movement rate of the first sample target stem cells within the first image acquisition interval, and the movement rate is named the first coordinate displacement rate;

[0104] The displacement rate of the first coordinate is calculated, and the specific formula is as follows:

[0105] ;

[0106] Wherein, Vwy1 is the first coordinate displacement rate, (x1, y1) is the first coordinate position, (x2, y2) is the second coordinate position, and Tjd1 is the first image acquisition interval duration;

[0107] Step S4354: acquiring the movement rate of the first sample target stem cells within the second image acquisition interval to the j-1th image acquisition interval, respectively, to obtain the second coordinate displacement rate to the j-1th coordinate displacement rate;

[0108] Step S4355: Calculate the average of the displacement rates from the first coordinate to the j-1th coordinate to obtain the monitored displacement rate of the first sample target stem cell in the first cell evaluation sub-cycle.

[0109] Furthermore, the step S5 further includes the following specific steps:

[0110] Step S51: obtaining stem cell density monitoring data, and obtaining a first stem cell quality assessment coefficient according to the stem cell density monitoring data;

[0111] Step S52: respectively obtaining a second stem cell quality assessment coefficient and a third stem cell quality assessment coefficient;

[0112] Step S53: Calculating the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient and the third stem cell quality assessment coefficient to obtain a stem cell quality comprehensive assessment coefficient;

[0113] The comprehensive evaluation coefficient of stem cell quality is calculated, and the specific formula is as follows:

[0114] ;

[0115] Among them, Zpg is the comprehensive evaluation coefficient of stem cell quality, Zlp1 is the first stem cell quality evaluation coefficient, Zlp2 is the second stem cell quality evaluation coefficient, and Zlp3 is the third stem cell quality evaluation coefficient;

[0116] Step S54: obtaining a stem cell quality comprehensive assessment coefficient threshold, performing a numerical comparison between the stem cell quality comprehensive assessment coefficient and the stem cell quality comprehensive assessment coefficient threshold, and performing a stem cell comprehensive quality assessment on the patient according to the numerical comparison result;

[0117] The step S54 further includes the following specific steps:

[0118] Step S541: respectively obtaining a first stem cell quality assessment coefficient threshold, a second stem cell quality assessment coefficient threshold, and a third stem cell quality assessment coefficient threshold;

[0119] Step S542: Calculating the first stem cell quality assessment coefficient threshold, the second stem cell quality assessment coefficient threshold, and the third stem cell quality assessment coefficient threshold to obtain a stem cell quality comprehensive assessment coefficient threshold;

[0120] Step S543: When the stem cell quality comprehensive evaluation coefficient is greater than or equal to the stem cell quality comprehensive evaluation coefficient threshold, the patient's stem cell comprehensive quality evaluation is evaluated to be qualified;

[0121] Step S544: When the stem cell quality comprehensive assessment coefficient is less than the stem cell quality comprehensive assessment coefficient threshold, the patient's stem cell comprehensive quality assessment is considered unqualified.

[0122] A stem cell evaluation system based on image analysis, the specific working process of each module is as follows:

[0123] Data acquisition module: used to obtain the stem cell evaluation cycle, mark several characteristic monitoring time points within the stem cell evaluation cycle, obtain the patient's stem cell image corresponding to each characteristic monitoring time point, and obtain stem cell density monitoring data;

[0124] Density analysis module: used to create a cell type classification statistical model based on stem cell density monitoring data to classify and count the stem cells in each patient's stem cell image, obtain the stem cell density coefficient corresponding to each stem cell evaluation cycle based on the statistical results, and analyze and obtain the first stem cell density deviation coefficient to obtain stem cell density monitoring data;

[0125] Morphological analysis module: used to obtain morphological factors of stem cells in each patient's stem cell image according to stem cell density monitoring data and stem cell monitoring image data, and analyze and obtain the morphological quality coefficient corresponding to each stem cell evaluation cycle, and obtain the second stem cell density deviation coefficient by calculating multiple morphological quality coefficients;

[0126] Activity analysis module: used to establish a cell activity monitoring rectangular coordinate system in each patient stem cell image, analyze the displacement rates of multiple different types of stem cells between image acquisition intervals through the cell activity monitoring rectangular coordinate system, obtain multiple activity quality coefficients, and obtain the third stem cell density deviation coefficient by calculating the multiple activity quality coefficients;

[0127] Quality assessment module: used to conduct comprehensive stem cell quality assessment on patients based on the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient and the third stem cell quality assessment coefficient.

[0128] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0129] 1. The present invention obtains multiple stem cell images at different time points, classifies the stem cells in each stem cell image into types, and evaluates the quality of stem cells by analyzing the image data of different types of stem cells at different time points, thereby ensuring the accuracy and pertinence of the evaluation results;

[0130] 2. The present invention performs density analysis, morphology analysis and activity analysis on stem cell images to obtain the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient and the third stem cell quality assessment coefficient respectively to conduct a comprehensive stem cell quality assessment on the patient, which can fully realize the comprehensiveness of the assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0131] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings:

[0132] Figure 1 It is a diagram of the implementation steps of the present invention;

[0133] Figure 2 is the overall system block diagram of the present invention;

[0134] Figure 3 It is a schematic diagram of the rectangular coordinate system for monitoring cell activity of the present invention. DETAILED DESCRIPTION

[0135] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0136] Embodiment 1

[0137] See also Figure 1 The present invention provides a technical solution: a stem cell evaluation method and system based on image analysis, comprising the following specific steps:

[0138] Step S1: obtaining a stem cell evaluation cycle, marking a number of characteristic monitoring time points within the stem cell evaluation cycle, respectively obtaining a patient stem cell image corresponding to each characteristic monitoring time point, and obtaining stem cell density monitoring data;

[0139] Step S11: in the process of evaluating the patient's stem cells, a fixed-length stem cell evaluation specific period is set, the time point corresponding to the current time value is marked as the first cycle characteristic time point, the time point corresponding to the stem cell evaluation specific period before the first cycle characteristic time point is marked as the second cycle characteristic time point, and the period between the first cycle characteristic time point and the second cycle characteristic time point is defined as the stem cell evaluation period;

[0140] Step S12: dividing the stem cell evaluation cycle into a number of cell evaluation sub-cycles, and naming the divided cell evaluation sub-cycles as the first cell evaluation sub-cycle to the xth cell evaluation sub-cycle in chronological order, and the time intervals corresponding to every two consecutive cell evaluation sub-cycles are the same;

[0141] Step S13: acquiring stem cell images of the patient in the first cell assessment sub-cycle to obtain first cycle image data;

[0142] Step S14: in the first cell evaluation sub-cycle, mark an evaluation monitoring time point every time a sample evaluation duration is passed, to obtain a plurality of evaluation monitoring time points, and name the obtained plurality of evaluation monitoring time points as the first monitoring time point to the jth monitoring time point in the order of the marking time;

[0143] Step S15: Acquire the stem cell microscope images of the patient corresponding to the first monitoring time point to the jth monitoring time point, obtain the first stem cell image to the jth stem cell image, and name the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle as the first cycle image data;

[0144] Step S16: acquiring the periodic image data corresponding to the second cell evaluation sub-period to the x-th cell evaluation sub-period respectively, to obtain the second periodic image data to the x-th periodic image data;

[0145] Step S17: defining the first cycle image data to the xth cycle image data as stem cell monitoring image data;

[0146] Step S2: performing stem cell density analysis on the patient according to the stem cell monitoring image data to obtain stem cell density monitoring data;

[0147] Step S21: Acquire stem cell monitoring image data, and acquire first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data;

[0148] Step S22: setting a plurality of different types of monitoring target stem cells respectively, and naming them as the first target stem cell to the mth target stem cell respectively;

[0149] Step S23: creating a statistical model for cell type classification;

[0150] The step S23 further includes the following specific steps:

[0151] Step S231: using big data crawler technology to obtain multiple stem cell microscope images using stem cell microscope images as keywords, marking the type of each stem cell in each stem cell microscope image, obtaining multiple stem cell labeled images, and obtaining stem cell image labeled data;

[0152] Step S232: dividing the stem cell image labeled data into a stem cell image training set and a stem cell image test set according to the image training test ratio;

[0153] Step S233: creating an image recognition model through an existing artificial intelligence platform, and training the image recognition model using the stem cell image training set, until each stem cell labeled image in the stem cell image training set has trained the image recognition model once;

[0154] Step S234: using the stem cell image test set to test the image recognition model and obtain the recognition accuracy rate. When the recognition accuracy rate is greater than or equal to the target recognition accuracy rate, the image recognition model training is completed and a cell type classification statistical model is obtained. When the recognition accuracy rate is less than the target recognition accuracy rate, the image recognition model is continuously trained using the stem cell image training set until the recognition accuracy rate is greater than or equal to the target recognition accuracy rate.

[0155] Step S24: performing stem cell density analysis on the first cycle image data, and obtaining a stem cell density coefficient corresponding to the first cycle image data to obtain a first stem cell density deviation coefficient;

[0156] The step S24 further includes the following specific steps:

[0157] Step S241: acquiring the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data;

[0158] Step S242: using the cell type classification statistical model to perform quantitative statistics on the first target stem cells in the first stem cell image to the jth stem cell image, respectively, to obtain j first target stem cell quantity values, and calculating the average of the obtained multiple first target stem cells to obtain an average quantity value of the first target stem cells;

[0159] Step S243: obtaining the area values ​​of the human tissue samples corresponding to the first stem cell image to the jth stem cell image, obtaining the first tissue area value to the jth tissue area value, calculating the average of the first tissue area value and the jth tissue area value, and obtaining the average area value of the monitored tissue;

[0160] Step S244: Calculate the ratio of the average number of first target stem cells to the average area of ​​the monitored tissue to obtain a first target stem cell monitoring density value;

[0161] Step S245: respectively acquiring the stem cell monitoring density values ​​corresponding to the second target stem cell to the mth target stem cell, and obtaining the second target stem cell monitoring density value to the mth target stem cell monitoring density value;

[0162] Step S246: respectively obtaining reference cell density values ​​of the first target stem cell to the mth target stem cell in the tissue region corresponding to the average area value of the monitored tissue, to obtain the first reference cell density value to the mth reference cell density value;

[0163] Step S247: calculating the first stem cell density deviation coefficient from the first target stem cell monitoring density value to the mth target stem cell monitoring density value and from the first reference cell density value to the mth reference cell density value;

[0164] The first stem cell density deviation coefficient is calculated, and the specific formula is as follows:

[0165] ;

[0166] Wherein, Gpc1 is the first stem cell density deviation coefficient, Mdz1 to Mdzm are respectively the first target stem cell monitoring density value to the mth target stem cell monitoring density value, and Mjz1 to Mjzm are respectively the first reference cell density value to the mth reference cell density value;

[0167] Step S25: performing stem cell density analysis on the second cycle image data to the xth cycle image data respectively to obtain the second stem cell density deviation coefficient to the xth stem cell density deviation coefficient;

[0168] Step S26: Calculate the average of the first stem cell density deviation coefficient to the xth stem cell density deviation coefficient to obtain the average deviation coefficient of the period stem cell density, and calculate the variance of the first stem cell density deviation coefficient to the xth stem cell density deviation coefficient to obtain the variance of the period stem cell density deviation coefficient;

[0169] Step S27: Calculating the average deviation coefficient of the cycle stem cell density and the variance of the deviation coefficient of the cycle stem cell density to obtain a first stem cell quality assessment coefficient;

[0170] The first stem cell quality assessment coefficient is calculated, and the specific formula is as follows:

[0171] ;

[0172] Among them, Zlp1 is the first stem cell quality assessment coefficient, Mpp is the mean deviation coefficient of cycle stem cell density, and Mfc is the variance of the deviation coefficient of cycle stem cell density;

[0173] Step S28: defining the first target stem cell to the mth target stem cell, the first stem cell quality assessment coefficient and the cell type classification statistical model as stem cell density monitoring data; Step S3: performing stem cell morphology analysis on the patient according to the stem cell density monitoring data and the stem cell monitoring image data to obtain a second stem cell quality assessment coefficient;

[0174] Step S31: Acquire stem cell monitoring image data, and acquire first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data;

[0175] Step S32: Acquire stem cell density monitoring data, and acquire a cell type classification statistical model and the first target stem cell to the mth target stem cell according to the stem cell density monitoring data;

[0176] Step S33: performing tissue stem cell morphology quality analysis on the first cycle image data to obtain a cell morphology quality coefficient corresponding to the first cycle image data, and naming it a first morphology quality coefficient;

[0177] The step S33 further includes the following specific steps:

[0178] Step S331: acquiring the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data;

[0179] Step S332: using a cell type classification statistical model to mark the first target stem cells in the first stem cell image to the jth stem cell image to obtain a plurality of first target stem cells, and marking a characteristic target stem cell among the plurality of first target stem cells obtained, and naming the first characteristic stem cell;

[0180] Step S333: acquiring an area value of the first characteristic stem cell in the first stem cell image to obtain a first characteristic area value;

[0181] Step S334: acquiring a perimeter value of the first characteristic stem cell in the first stem cell image to obtain a first characteristic perimeter value;

[0182] Step S335: Calculating the first characteristic area value and the first characteristic perimeter value to obtain a shape factor corresponding to the first characteristic stem cell;

[0183] The shape factor corresponding to the first characteristic stem cell is calculated, and the specific formula is as follows:

[0184] ;

[0185] Among them, Xzy is the shape factor corresponding to the first characteristic stem cell, Zct is the first characteristic perimeter value, and Mjt is the first characteristic area value;

[0186] Step S336: acquiring a shape factor for each first target stem cell in the first stem cell image to obtain a plurality of shape factors, and averaging the plurality of shape factors to obtain an average shape factor corresponding to the first target stem cell, thereby obtaining a first average shape factor;

[0187] Step S337: respectively acquiring the average shape factors corresponding to the second target stem cell to the mth target stem cell to obtain the second shape factor to the mth shape factor;

[0188] Step S338: acquiring reference shape factors corresponding to the first target stem cell and the mth target stem cell in the first stem cell image, and obtaining the first reference shape factor to the mth reference shape factor;

[0189] Step S339: obtaining a first morphological quality coefficient by calculating the first shape factor to the m-th shape factor and the first reference shape factor to the m-th reference shape factor;

[0190] The first form quality coefficient is calculated, and the specific formula is as follows:

[0191] ;

[0192] Wherein, Xtx1 is the first morphological quality coefficient, Xyz1 to Xyzm are the first shape factor to the mth shape factor, respectively, Xyj1 to Xyjm are the first reference shape factor to the mth reference shape factor, respectively, and m is the number of types corresponding to the target stem cells;

[0193] Step S34: acquiring the morphological quality coefficients corresponding to the second period image data to the xth period image data respectively, to obtain the second morphological quality coefficient to the xth morphological quality coefficient;

[0194] Step S35: Calculate the average of the first morphological quality coefficient to the xth morphological quality coefficient to obtain the average deviation coefficient of the morphology of the cycled stem cells;

[0195] Step S36: Calculate the variance of the first morphology quality coefficient to the xth morphology quality coefficient to obtain the variance of the periodic morphology quality coefficient;

[0196] Step S37: Calculate the average deviation coefficient of the cycle stem cell morphology and the variance of the cycle morphology quality coefficient to obtain a second stem cell quality assessment coefficient;

[0197] The second stem cell quality assessment coefficient is calculated, and the specific formula is as follows:

[0198] ;

[0199] Among them, Zlp2 is the second stem cell quality assessment coefficient, Xtp is the mean deviation coefficient of cycle stem cell morphology, and Xfc is the variance of cycle morphology quality coefficient;

[0200] Step S4: performing stem cell activity analysis on the patient according to the stem cell density monitoring data and the stem cell monitoring image data to obtain a third stem cell quality assessment coefficient;

[0201] Step S41: acquiring stem cell monitoring image data, and acquiring first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data;

[0202] Step S42: Acquire stem cell density monitoring data, and acquire a cell type classification statistical model and the first target stem cell to the mth target stem cell according to the stem cell density monitoring data;

[0203] Step S43: performing tissue stem cell activity quality analysis on the first cycle image data to obtain a cell activity quality coefficient corresponding to the first cycle image data, and naming it a first activity quality coefficient;

[0204] The step S43 further includes the following specific steps:

[0205] Step S431: acquiring the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data;

[0206] Step S432: using a cell type classification statistical model to mark the first target stem cells in the first stem cell image to the jth stem cell image to obtain a plurality of first target stem cells, selecting a first target stem cell from the plurality of first target stem cells as a sample target stem cell, and naming the first sample target stem cell;

[0207] Step S433: Please refer to Figure 3 , respectively, in the first stem cell image, mark the lower left end point of the image as the coordinate origin, draw a straight line through the coordinate origin parallel to the upper border of the image to obtain the coordinate x-axis, draw a straight line through the coordinate origin perpendicular to the coordinate y-axis to obtain the coordinate y-axis, name the plane rectangular coordinate system composed of the coordinate origin, the coordinate x-axis and the coordinate y-axis as the cell activity monitoring rectangular coordinate system, and respectively establish the cell activity monitoring rectangular coordinate system in the second stem cell image to the jth stem cell image;

[0208] Step S434: obtaining the acquisition interval time corresponding to the first stem cell image and the second stem cell image to obtain the first image acquisition interval time, obtaining the acquisition interval time corresponding to the second stem cell image and the third stem cell image to obtain the second image acquisition interval time, and so on, obtaining the acquisition interval time corresponding to the j-1 stem cell image and the j-1 stem cell image to obtain the j-1 image acquisition interval time.

[0209] Step S435: obtaining the monitored displacement rate of the first sample target stem cells in the first cell evaluation sub-cycle;

[0210] The step S435 further includes the following specific steps:

[0211] Step S4351: in the first stem cell image, obtaining the coordinate position of the first sample target stem cell in the cell activity monitoring rectangular coordinate system to obtain a first coordinate position;

[0212] Step S4352: in the second stem cell image, obtaining the coordinate position of the first sample target stem cell in the cell activity monitoring rectangular coordinate system to obtain a second coordinate position;

[0213] Step S4353: The first coordinate position, the second coordinate position and the first image acquisition interval are calculated to obtain a movement rate of the first sample target stem cells within the first image acquisition interval, and the movement rate is named the first coordinate displacement rate;

[0214] The displacement rate of the first coordinate is calculated, and the specific formula is as follows:

[0215] ;

[0216] Wherein, Vwy1 is the first coordinate displacement rate, (x1, y1) is the first coordinate position, (x2, y2) is the second coordinate position, and Tjd1 is the first image acquisition interval duration;

[0217] Step S4354: acquiring the movement rate of the first sample target stem cells within the second image acquisition interval to the j-1th image acquisition interval, respectively, to obtain the second coordinate displacement rate to the j-1th coordinate displacement rate;

[0218] Step S4355: Calculate the average of the displacement rates from the first coordinate to the j-1th coordinate to obtain the monitoring displacement rate of the first sample target stem cell in the first cell evaluation sub-cycle;

[0219] Step S436: acquiring the monitored displacement rate of each first target stem cell in the first cell evaluation sub-cycle respectively to obtain a plurality of monitored displacement rates, and calculating the average of the obtained plurality of monitored displacement rates to obtain the actual displacement rate of the first target stem cell;

[0220] Step S437: respectively acquiring the actual displacement rates of the second target stem cell to the mth target stem cell in the first cell evaluation sub-cycle to obtain the actual displacement rate of the second target stem cell to the actual displacement rate of the mth target stem cell;

[0221] Step S438: respectively acquiring reference displacement rates in the first cell evaluation sub-period corresponding to the first target stem cell to the mth target stem cell, and obtaining reference displacement rates of the first target stem cell to the mth target stem cell;

[0222] Step S439: obtaining a first active mass coefficient by calculating the actual displacement rate of the first target stem cell to the actual displacement rate of the mth target stem cell and the reference displacement rate of the first target stem cell to the reference displacement rate of the mth target stem cell;

[0223] The first active mass coefficient is calculated, and the specific formula is as follows:

[0224] ;

[0225] Wherein, Hx1 is the first active mass coefficient, Ws1 to Wsm are respectively the actual displacement rate of the first target stem cell to the actual displacement rate of the mth target stem cell, and Wj1 to Wjm are respectively the reference displacement rate of the first target stem cell to the reference displacement rate of the mth target stem cell;

[0226] Step S44: acquiring the activity quality coefficients corresponding to the second period image data to the xth period image data respectively, and obtaining the second activity quality coefficient to the xth activity quality coefficient;

[0227] Step S45: Calculate the average of the first activity mass coefficient to the xth activity mass coefficient to obtain the average deviation coefficient of the activity of the periodic stem cells;

[0228] Step S46: Calculating the variance of the first activity mass coefficient to the xth activity mass coefficient to obtain the variance of the periodic activity mass coefficient;

[0229] Step S47: Calculate the average deviation coefficient of the cycle stem cell density and the variance of the cycle activity quality coefficient to obtain a third stem cell quality assessment coefficient;

[0230] The third stem cell quality assessment coefficient is calculated, and the specific formula is as follows:

[0231] ;

[0232] Among them, Zlp3 is the third stem cell quality assessment coefficient, Hxp is the mean deviation coefficient of cycle stem cell activity, and Hfc is the variance of cycle activity quality coefficient;

[0233] Step S5: performing a comprehensive stem cell quality assessment on the patient according to the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient, and the third stem cell quality assessment coefficient;

[0234] Step S51: obtaining stem cell density monitoring data, and obtaining a first stem cell quality assessment coefficient according to the stem cell density monitoring data;

[0235] Step S52: respectively obtaining a second stem cell quality assessment coefficient and a third stem cell quality assessment coefficient;

[0236] Step S53: Calculating the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient and the third stem cell quality assessment coefficient to obtain a stem cell quality comprehensive assessment coefficient;

[0237] The comprehensive evaluation coefficient of stem cell quality is calculated, and the specific formula is as follows:

[0238] ;

[0239] Among them, Zpg is the comprehensive evaluation coefficient of stem cell quality, Zlp1 is the first stem cell quality evaluation coefficient, Zlp2 is the second stem cell quality evaluation coefficient, and Zlp3 is the third stem cell quality evaluation coefficient;

[0240] Step S54: obtaining a stem cell quality comprehensive assessment coefficient threshold, performing a numerical comparison between the stem cell quality comprehensive assessment coefficient and the stem cell quality comprehensive assessment coefficient threshold, and performing a stem cell comprehensive quality assessment on the patient according to the numerical comparison result;

[0241] The step S54 further includes the following specific steps:

[0242] Step S541: respectively obtaining a first stem cell quality assessment coefficient threshold, a second stem cell quality assessment coefficient threshold, and a third stem cell quality assessment coefficient threshold;

[0243] Step S542: Calculating the first stem cell quality assessment coefficient threshold, the second stem cell quality assessment coefficient threshold, and the third stem cell quality assessment coefficient threshold to obtain a stem cell quality comprehensive assessment coefficient threshold;

[0244] Step S543: When the stem cell quality comprehensive evaluation coefficient is greater than or equal to the stem cell quality comprehensive evaluation coefficient threshold, the patient's stem cell comprehensive quality evaluation is evaluated to be qualified;

[0245] Step S544: When the stem cell quality comprehensive assessment coefficient is less than the stem cell quality comprehensive assessment coefficient threshold, the patient's stem cell comprehensive quality assessment is considered unqualified.

[0246] In this application, if corresponding calculation formulas appear, the above calculation formulas are all dimensionless and take their numerical calculations. The weight coefficients, proportional coefficients and other coefficients in the formulas are set to a result value obtained by quantifying each parameter. The size of the weight coefficient and the proportional coefficient can be determined as long as it does not affect the proportional relationship between the parameter and the result value.

[0247] Embodiment 2

[0248] See also Figure 2 , based on another concept of the same invention, a stem cell evaluation system based on image analysis is now proposed, including a data acquisition module, a density analysis module, a morphology analysis module, an activity analysis module, a quality evaluation module and a server, wherein the data acquisition module, the density analysis module, the morphology analysis module, the activity analysis module and the quality evaluation module are respectively connected to the server, and the server controls the data acquisition module, the density analysis module, the morphology analysis module, the activity analysis module and the quality evaluation module respectively;

[0249] The data acquisition module acquires the stem cell evaluation cycle, marks a number of characteristic monitoring time points within the stem cell evaluation cycle, and respectively acquires the patient's stem cell image corresponding to each characteristic monitoring time point to obtain stem cell density monitoring data;

[0250] In the process of evaluating the patient's stem cells, a specific time period of stem cell evaluation with a fixed duration is set, the time point corresponding to the current time value is marked as the first cycle characteristic time point, the time point corresponding to the specific time period of stem cell evaluation before the first cycle characteristic time point is marked as the second cycle characteristic time point, and the time period between the first cycle characteristic time point and the second cycle characteristic time point is defined as the stem cell evaluation cycle;

[0251] It should be noted here that:

[0252] In the present application, as the current time value changes, the characteristic time point of the first cycle and the characteristic time point of the second cycle are changed, thereby realizing the dynamic update of the stem cell evaluation cycle;

[0253] In the present application, the specific period of stem cell assessment referred to herein is specifically defined as one week;

[0254] Divide the stem cell evaluation cycle into a number of cell evaluation sub-cycles, and name the divided cell evaluation sub-cycles as the first cell evaluation sub-cycle to the xth cell evaluation sub-cycle in chronological order, and the time intervals corresponding to every two consecutive cell evaluation sub-cycles are the same;

[0255] It should be noted here that:

[0256] In the present application, the same time intervals between two consecutive cell evaluation subcycles mentioned herein specifically refer to the same time intervals between the cycle start time points between two consecutive cell evaluation subcycles, and the same cycle durations between two consecutive cell evaluation subcycles.

[0257] Acquiring stem cell images of patients in the first cell assessment sub-cycle to obtain first cycle image data;

[0258] In the first cell evaluation subcycle, an evaluation monitoring time point is marked every sample evaluation time interval to obtain a plurality of evaluation monitoring time points, and the obtained plurality of evaluation monitoring time points are named as the first monitoring time point to the jth monitoring time point in the order of the marking time;

[0259] It should be noted here that:

[0260] In the present application, j is the quantity value corresponding to the marked monitoring time point in the first cell evaluation subcycle, and j is an integer greater than 0;

[0261] Acquire the stem cell microscope images of the patient corresponding to the first monitoring time point to the jth monitoring time point, obtain the first stem cell image to the jth stem cell image, and name the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle as the first cycle image data;

[0262] It should be noted here that:

[0263] In the present application, the first stem cell image to the jth stem cell image involved herein are all stem cell microscope images of tissue samples corresponding to the same limb position of the patient;

[0264] Repeat the process of acquiring the first cycle image data, and respectively acquire the cycle image data corresponding to the second cell evaluation sub-cycle to the x-th cell evaluation sub-cycle, to obtain the second cycle image data to the x-th cycle image data;

[0265] The first cycle image data to the xth cycle image data are defined as stem cell monitoring image data;

[0266] The data acquisition module acquires the stem cell monitoring image data and transmits it to the density analysis module, the morphology analysis module and the activity analysis module;

[0267] The density analysis module performs stem cell density analysis on the patient based on the stem cell monitoring image data to obtain stem cell density monitoring data;

[0268] Acquire stem cell monitoring image data, and acquire first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data;

[0269] Several different types of monitoring target stem cells are respectively set and named as the first target stem cell to the mth target stem cell;

[0270] It should be noted here that:

[0271] In a specific implementation, m is the number of types corresponding to the monitored target stem cells, and m is an integer greater than 0;

[0272] In a specific implementation, the first target stem cell involved herein may be a hematopoietic stem cell, the second target stem cell may be a mesenchymal stem cell, and the third target stem cell may be a neural stem cell;

[0273] Create statistical models for cell type partitioning;

[0274] The details are as follows:

[0275] Using big data crawler technology to obtain multiple stem cell microscope images using stem cell microscope images as keywords, marking the type of each stem cell in each stem cell microscope image, obtaining multiple stem cell labeled images, and obtaining stem cell image labeled data;

[0276] The stem cell image labeled data is divided into a stem cell image training set and a stem cell image test set according to the image training and testing ratio;

[0277] It should be noted here that:

[0278] In the present application, the image training-test ratio is specifically set to 7:3, that is, the ratio of the number of stem cell labeled images in the stem cell image training set and the stem cell image test set is 7:3;

[0279] Create an image recognition model through an existing artificial intelligence platform, and train the image recognition model using a stem cell image training set until the image recognition model is trained once for each stem cell labeled image in the stem cell image training set;

[0280] The image recognition model is tested using the stem cell image test set, and the recognition accuracy is obtained. When the recognition accuracy is greater than or equal to the target recognition accuracy, the image recognition model training is completed, and a cell type classification statistical model is obtained. When the recognition accuracy is less than the target recognition accuracy, the image recognition model is continuously trained using the stem cell image training set until the recognition accuracy is greater than or equal to the target recognition accuracy.

[0281] It should be noted here that:

[0282] The target recognition accuracy involved here is specifically set to 95% in this application;

[0283] Performing stem cell density analysis on the first cycle image data, and obtaining a stem cell density coefficient corresponding to the first cycle image data to obtain a first stem cell density deviation coefficient;

[0284] The details are as follows:

[0285] Acquire the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data;

[0286] Using the cell type classification statistical model, respectively count the number of first target stem cells in the first stem cell image to the jth stem cell image to obtain j first target stem cell number values, and average the obtained multiple first target stem cells to obtain an average number value of the first target stem cells;

[0287] Acquire the area values ​​of human tissue samples corresponding to the first stem cell image to the jth stem cell image, obtain the first tissue area value to the jth tissue area value, calculate the average of the first tissue area value and the jth tissue area value, and obtain the average area value of the monitored tissue;

[0288] Calculate the ratio of the average number of first target stem cells to the average area of ​​the monitored tissue to obtain a first target stem cell monitoring density value;

[0289] Respectively acquiring stem cell monitoring density values ​​corresponding to the second target stem cell to the mth target stem cell, and obtaining the second target stem cell monitoring density value to the mth target stem cell monitoring density value;

[0290] Respectively obtain reference cell density values ​​of the first target stem cell to the mth target stem cell in the tissue area corresponding to the average area value of the monitored tissue, to obtain the first reference cell density value to the mth reference cell density value;

[0291] The first stem cell density deviation coefficient is obtained by calculating the first target stem cell monitoring density value to the mth target stem cell monitoring density value and the first reference cell density value to the mth reference cell density value;

[0292] The first stem cell density deviation coefficient is calculated, and the specific formula is as follows:

[0293] ;

[0294] Wherein, Gpc1 is the first stem cell density deviation coefficient, Mdz1 to Mdzm are respectively the first target stem cell monitoring density value to the mth target stem cell monitoring density value, and Mjz1 to Mjzm are respectively the first reference cell density value to the mth reference cell density value;

[0295] Repeat the process of obtaining the first stem cell density deviation coefficient, perform stem cell density analysis on the second cycle image data to the xth cycle image data, and obtain the second stem cell density deviation coefficient to the xth stem cell density deviation coefficient;

[0296] The first stem cell density deviation coefficient to the xth stem cell density deviation coefficient are averaged to obtain the average deviation coefficient of the period stem cell density;

[0297] Calculate the variance of the first stem cell density deviation coefficient to the xth stem cell density deviation coefficient to obtain the variance of the period stem cell density deviation coefficient;

[0298] The first stem cell quality assessment coefficient is obtained by calculating the average deviation coefficient of the cycle stem cell density and the variance of the deviation coefficient of the cycle stem cell density;

[0299] The first stem cell quality assessment coefficient is calculated, and the specific formula is as follows:

[0300] ;

[0301] Among them, Zlp1 is the first stem cell quality assessment coefficient, Mpp is the mean deviation coefficient of cycle stem cell density, and Mfc is the variance of the deviation coefficient of cycle stem cell density;

[0302] The first target stem cell to the mth target stem cell, the first stem cell quality assessment coefficient and the cell type classification statistical model are defined as stem cell density monitoring data;

[0303] The density analysis module acquires the stem cell density monitoring data and transmits it to the morphology analysis module, activity analysis module and quality assessment module;

[0304] The morphological analysis module performs stem cell morphological analysis on the patient according to the stem cell density monitoring data and the stem cell monitoring image data to obtain a second stem cell quality assessment coefficient;

[0305] Acquire stem cell monitoring image data, and acquire first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data;

[0306] Acquire stem cell density monitoring data, and acquire a cell type classification statistical model and a first target stem cell to an mth target stem cell according to the stem cell density monitoring data;

[0307] Performing tissue stem cell morphology quality analysis on the first cycle image data to obtain a cell morphology quality coefficient corresponding to the first cycle image data, and naming it a first morphology quality coefficient;

[0308] The details are as follows:

[0309] Acquire the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data;

[0310] Using a cell type classification statistical model, first target stem cells in the first stem cell image to the jth stem cell image are marked to obtain a plurality of first target stem cells, and a characteristic target stem cell is marked among the plurality of first target stem cells obtained, and is named the first characteristic stem cell;

[0311] Acquiring an area value of the first characteristic stem cell in the first stem cell image to obtain a first characteristic area value;

[0312] Acquire a perimeter value of the first characteristic stem cell in the first stem cell image to obtain a first characteristic perimeter value;

[0313] The first characteristic area value and the first characteristic perimeter value are calculated to obtain a shape factor corresponding to the first characteristic stem cell;

[0314] The shape factor corresponding to the first characteristic stem cell is calculated, and the specific formula is as follows:

[0315] ;

[0316] Among them, Xzy is the shape factor corresponding to the first characteristic stem cell, Zct is the first characteristic perimeter value, and Mjt is the first characteristic area value;

[0317] Repeat the process of acquiring the shape factor corresponding to the first characteristic stem cell, respectively acquiring the shape factor of each first target stem cell in the first stem cell image, obtaining a plurality of shape factors, and averaging the plurality of shape factors to obtain an average shape factor corresponding to the first target stem cell, thereby obtaining a first average shape factor;

[0318] Repeat the process of acquiring the average shape factor corresponding to the first target stem cell, and respectively acquire the average shape factors corresponding to the second target stem cell to the mth target stem cell to obtain the second shape factor to the mth shape factor;

[0319] Acquire reference shape factors corresponding to the first target stem cell and the mth target stem cell in the first stem cell image, to obtain first to mth reference shape factors;

[0320] The first shape factor to the m-th shape factor and the first reference shape factor to the m-th reference shape factor are calculated to obtain a first morphological quality coefficient;

[0321] The first form quality coefficient is calculated, and the specific formula is as follows:

[0322] ;

[0323] Wherein, Xtx1 is the first morphological quality coefficient, Xyz1 to Xyzm are the first shape factor to the mth shape factor, respectively, Xyj1 to Xyjm are the first reference shape factor to the mth reference shape factor, respectively, and m is the number of types corresponding to the target stem cells;

[0324] Repeat the process of acquiring the first morphological quality coefficient, respectively acquire the morphological quality coefficients corresponding to the second period image data to the xth period image data, and obtain the second morphological quality coefficients to the xth morphological quality coefficients;

[0325] The first morphological quality coefficient to the xth morphological quality coefficient are averaged to obtain the average deviation coefficient of the morphology of the cycling stem cells;

[0326] Calculate the variance of the first morphological quality coefficient to the xth morphological quality coefficient to obtain the variance of the periodic morphological quality coefficient;

[0327] The second stem cell quality assessment coefficient is obtained by calculating the average deviation coefficient of the cycle stem cell morphology and the variance of the cycle morphology quality coefficient;

[0328] The second stem cell quality assessment coefficient is calculated, and the specific formula is as follows:

[0329] ;

[0330] Among them, Zlp2 is the second stem cell quality assessment coefficient, Xtp is the mean deviation coefficient of cycle stem cell morphology, and Xfc is the variance of cycle morphology quality coefficient;

[0331] The morphological analysis module acquires the second stem cell quality assessment coefficient and transmits it to the quality assessment module;

[0332] The activity analysis module performs stem cell activity analysis on the patient based on the stem cell density monitoring data and the stem cell monitoring image data to obtain a third stem cell quality assessment coefficient;

[0333] Acquire stem cell monitoring image data, and acquire first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data;

[0334] Acquire stem cell density monitoring data, and acquire a cell type classification statistical model and a first target stem cell to an mth target stem cell according to the stem cell density monitoring data;

[0335] Performing tissue stem cell activity quality analysis on the first cycle image data to obtain a cell activity quality coefficient corresponding to the first cycle image data, and naming it a first activity quality coefficient;

[0336] The details are as follows:

[0337] Acquire the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data;

[0338] Using a cell type classification statistical model to mark the first target stem cells in the first stem cell image to the jth stem cell image to obtain a plurality of first target stem cells, selecting a first target stem cell from the plurality of first target stem cells as a sample target stem cell and naming the first sample target stem cell;

[0339] In the first stem cell image, the lower left end point of the image is marked as the coordinate origin, a straight line parallel to the upper border of the image is drawn through the coordinate origin to obtain the coordinate x-axis, and a straight line perpendicular to the coordinate y-axis is drawn through the coordinate origin to obtain the coordinate y-axis. The plane rectangular coordinate system composed of the coordinate origin, the coordinate x-axis and the coordinate y-axis is named as the cell activity monitoring rectangular coordinate system, and the cell activity monitoring rectangular coordinate system is established in the second stem cell image to the jth stem cell image respectively;

[0340] The acquisition interval time lengths corresponding to the first stem cell image and the second stem cell image are obtained to obtain the first image acquisition interval time length, the acquisition interval time lengths corresponding to the second stem cell image and the third stem cell image are obtained to obtain the second image acquisition interval time length, and so on, the acquisition interval time lengths corresponding to the j-1 stem cell image and the j-1 stem cell image are obtained to obtain the j-1 image acquisition interval time length,

[0341] It should be noted here that:

[0342] In the present application, the rectangular coordinate system for monitoring cell activity is unified with the relative positions of the first stem cell image to the jth stem cell image;

[0343] Acquire a monitored displacement rate of a first sample target stem cell in a first cell evaluation subcycle;

[0344] The details are as follows:

[0345] In the first stem cell image, obtaining the coordinate position of the first sample target stem cell in the cell activity monitoring rectangular coordinate system to obtain a first coordinate position;

[0346] In the second stem cell image, the coordinate position of the target stem cell of the first sample in the rectangular coordinate system for monitoring cell activity is obtained to obtain a second coordinate position;

[0347] The first coordinate position, the second coordinate position and the first image acquisition interval are calculated to obtain a movement rate of the first sample target stem cell within the first image acquisition interval, and the movement rate is named as the first coordinate displacement rate;

[0348] The displacement rate of the first coordinate is calculated, and the specific formula is as follows:

[0349] ;

[0350] Wherein, Vwy1 is the first coordinate displacement rate, (x1, y1) is the first coordinate position, (x2, y2) is the second coordinate position, and Tjd1 is the first image acquisition interval duration;

[0351] Acquire the movement speed of the target stem cells of the first sample within the second image acquisition interval to the j-1th image acquisition interval to obtain the second coordinate displacement speed to the j-1th coordinate displacement speed;

[0352] Calculate the average of the displacement rates from the first coordinate to the j-1th coordinate to obtain the monitoring displacement rate of the first sample target stem cell in the first cell evaluation sub-cycle;

[0353] Repeat the process of acquiring the monitored displacement rate of the first sample target stem cell in the first cell evaluation sub-cycle, respectively acquire the monitored displacement rate of each first target stem cell in the first cell evaluation sub-cycle to obtain multiple monitored displacement rates, and average the obtained multiple monitored displacement rates to obtain the actual displacement rate of the first target stem cell;

[0354] The actual displacement rates of the second target stem cell to the mth target stem cell in the first cell evaluation sub-cycle are respectively acquired to obtain the actual displacement rate of the second target stem cell to the actual displacement rate of the mth target stem cell;

[0355] Respectively acquiring reference displacement rates in the first cell evaluation sub-period corresponding to the first target stem cell to the mth target stem cell, and obtaining reference displacement rates of the first target stem cell to the mth target stem cell;

[0356] The first active mass coefficient is obtained by calculating the actual displacement rate of the first target stem cell to the actual displacement rate of the mth target stem cell and the reference displacement rate of the first target stem cell to the reference displacement rate of the mth target stem cell;

[0357] The first active mass coefficient is calculated, and the specific formula is as follows:

[0358] ;

[0359] Wherein, Hx1 is the first active mass coefficient, Ws1 to Wsm are respectively the actual displacement rate of the first target stem cell to the actual displacement rate of the mth target stem cell, and Wj1 to Wjm are respectively the reference displacement rate of the first target stem cell to the reference displacement rate of the mth target stem cell;

[0360] Respectively acquiring the activity mass coefficients corresponding to the second period image data to the xth period image data to obtain the second activity mass coefficient to the xth activity mass coefficient;

[0361] The first activity mass coefficient to the xth activity mass coefficient are averaged to obtain the average deviation coefficient of the activity of the periodic stem cells;

[0362] Calculate the variance of the first active mass coefficient to the xth active mass coefficient to obtain the variance of the periodic active mass coefficient;

[0363] The third stem cell quality assessment coefficient is obtained by calculating the average deviation coefficient of the cycle stem cell density and the variance of the cycle activity quality coefficient;

[0364] The third stem cell quality assessment coefficient is calculated, and the specific formula is as follows:

[0365] ;

[0366] Among them, Zlp3 is the third stem cell quality assessment coefficient, Hxp is the mean deviation coefficient of cycle stem cell activity, and Hfc is the variance of cycle activity quality coefficient;

[0367] The activity analysis module obtains the third stem cell quality assessment coefficient and transmits it to the quality assessment module;

[0368] The quality assessment module performs a comprehensive stem cell quality assessment on the patient according to the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient and the third stem cell quality assessment coefficient;

[0369] Acquiring stem cell density monitoring data, and acquiring a first stem cell quality assessment coefficient according to the stem cell density monitoring data;

[0370] respectively obtaining a second stem cell quality assessment coefficient and a third stem cell quality assessment coefficient;

[0371] The first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient and the third stem cell quality assessment coefficient are calculated to obtain a stem cell quality comprehensive assessment coefficient;

[0372] The comprehensive evaluation coefficient of stem cell quality is calculated, and the specific formula is as follows:

[0373] ;

[0374] Among them, Zpg is the comprehensive evaluation coefficient of stem cell quality, Zlp1 is the first stem cell quality evaluation coefficient, Zlp2 is the second stem cell quality evaluation coefficient, and Zlp3 is the third stem cell quality evaluation coefficient;

[0375] Obtaining a threshold value of a comprehensive stem cell quality assessment coefficient, numerically comparing the comprehensive stem cell quality assessment coefficient with the threshold value of the comprehensive stem cell quality assessment coefficient, and conducting a comprehensive stem cell quality assessment on the patient based on the numerical comparison result;

[0376] respectively obtaining a first stem cell quality assessment coefficient threshold, a second stem cell quality assessment coefficient threshold, and a third stem cell quality assessment coefficient threshold;

[0377] It should be noted here that:

[0378] The first stem cell quality assessment coefficient threshold, the second stem cell quality assessment coefficient threshold and the third stem cell quality assessment coefficient threshold involved here are respectively the maximum first stem cell quality assessment coefficient, the maximum second stem cell quality assessment coefficient and the minimum third stem cell quality assessment coefficient corresponding to the patients who fail the comprehensive stem cell quality assessment;

[0379] The first stem cell quality assessment coefficient threshold, the second stem cell quality assessment coefficient threshold and the third stem cell quality assessment coefficient threshold are calculated to obtain a stem cell quality comprehensive assessment coefficient threshold;

[0380] The threshold of the comprehensive evaluation coefficient of stem cell quality is calculated, and the specific formula is as follows:

[0381] ;

[0382] Among them, Zpgy is the comprehensive stem cell quality assessment coefficient threshold, Zlpy1 is the first stem cell quality assessment coefficient threshold, Zlpy2 is the second stem cell quality assessment coefficient threshold, and Zlpy3 is the third stem cell quality assessment coefficient threshold;

[0383] When the comprehensive stem cell quality assessment coefficient is greater than or equal to the comprehensive stem cell quality assessment coefficient threshold, the patient's stem cell comprehensive quality assessment is considered qualified;

[0384] When the comprehensive stem cell quality assessment coefficient is less than the comprehensive stem cell quality assessment coefficient threshold, the patient's comprehensive stem cell quality assessment is considered unqualified;

[0385] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A stem cell evaluation method based on image analysis, characterized in that: The specific steps include: Step S1: obtaining a stem cell evaluation cycle, marking a number of characteristic monitoring time points within the stem cell evaluation cycle, respectively obtaining a patient stem cell image corresponding to each characteristic monitoring time point, and obtaining stem cell monitoring image data; Step S2: creating a cell type classification statistical model based on the stem cell monitoring image data, classifying the types and counting the number of stem cells in each patient's stem cell image, obtaining the stem cell density coefficient corresponding to each stem cell evaluation cycle based on the statistical results, and analyzing and obtaining the first stem cell quality evaluation coefficient to obtain stem cell density monitoring data; The step S2 further includes the following specific steps: Step S21: Acquire stem cell monitoring image data, and acquire first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data; Step S22: setting a plurality of different types of monitoring target stem cells respectively, and naming them as the first target stem cell to the mth target stem cell respectively; Step S23: creating a statistical model for cell type classification; Step S24: performing stem cell density analysis on the first cycle image data, and obtaining a stem cell density coefficient corresponding to the first cycle image data to obtain a first stem cell density deviation coefficient; Step S25: performing stem cell density analysis on the second cycle image data to the xth cycle image data respectively to obtain the second stem cell density deviation coefficient to the xth stem cell density deviation coefficient; Step S26: Calculate the average of the first stem cell density deviation coefficient to the xth stem cell density deviation coefficient to obtain the average deviation coefficient of the period stem cell density, and calculate the variance of the first stem cell density deviation coefficient to the xth stem cell density deviation coefficient to obtain the variance of the period stem cell density deviation coefficient; Step S27: Calculating the average deviation coefficient of the cycle stem cell density and the variance of the deviation coefficient of the cycle stem cell density to obtain a first stem cell quality assessment coefficient; The first stem cell quality assessment coefficient is calculated, and the specific formula is as follows: ； Among them, Zlp1 is the first stem cell quality assessment coefficient, Mpp is the mean deviation coefficient of cycle stem cell density, and Mfc is the variance of the deviation coefficient of cycle stem cell density; Step S28: defining the first target stem cell to the mth target stem cell, the first stem cell quality assessment coefficient, and the cell type classification statistical model as stem cell density monitoring data; Step S3: acquiring morphological factors of stem cells in each patient's stem cell image according to the stem cell density monitoring data and the stem cell monitoring image data, and analyzing to obtain the morphological quality coefficient corresponding to each stem cell assessment cycle, and obtaining a second stem cell quality assessment coefficient by calculating multiple morphological quality coefficients; Step S4: establishing a cell activity monitoring rectangular coordinate system in each patient stem cell image, analyzing the displacement rates of multiple different types of stem cells between image acquisition intervals through the cell activity monitoring rectangular coordinate system, obtaining multiple activity quality coefficients, and obtaining a third stem cell quality assessment coefficient by calculating the multiple activity quality coefficients; Step S5: Performing a comprehensive stem cell quality assessment on the patient according to the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient, and the third stem cell quality assessment coefficient.

2. A stem cell evaluation method based on image analysis according to claim 1, characterized in that: The step S1 further includes the following specific steps: Step S11: in the process of evaluating the patient's stem cells, a fixed-length stem cell evaluation specific period is set, the time point corresponding to the current time value is marked as the first cycle characteristic time point, the time point corresponding to the stem cell evaluation specific period before the first cycle characteristic time point is marked as the second cycle characteristic time point, and the period between the first cycle characteristic time point and the second cycle characteristic time point is defined as the stem cell evaluation period; Step S12: dividing the stem cell evaluation cycle into a number of cell evaluation sub-cycles, and naming the divided cell evaluation sub-cycles as the first cell evaluation sub-cycle to the xth cell evaluation sub-cycle in chronological order, and the time intervals corresponding to every two consecutive cell evaluation sub-cycles are the same; Step S13: acquiring stem cell images of the patient in the first cell assessment sub-cycle to obtain first cycle image data; Step S14: in the first cell evaluation sub-cycle, mark an evaluation monitoring time point every time a sample evaluation duration is passed, to obtain a plurality of evaluation monitoring time points, and name the obtained plurality of evaluation monitoring time points as the first monitoring time point to the jth monitoring time point in the order of the marking time; Step S15: Acquire the stem cell microscope images of the patient corresponding to the first monitoring time point to the jth monitoring time point, obtain the first stem cell image to the jth stem cell image, and name the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle as the first cycle image data; Step S16: acquiring the periodic image data corresponding to the second cell evaluation sub-period to the x-th cell evaluation sub-period respectively, to obtain the second periodic image data to the x-th periodic image data; Step S17: defining the first cycle image data to the xth cycle image data as stem cell monitoring image data.

3. The stem cell evaluation method based on image analysis according to claim 1, characterized in that: The step S23 further includes the following specific steps: Step S231: using big data crawler technology to obtain multiple stem cell microscope images using stem cell microscope images as keywords, marking the type of each stem cell in each stem cell microscope image, obtaining multiple stem cell labeled images, and obtaining stem cell image labeled data; Step S232: dividing the stem cell image labeled data into a stem cell image training set and a stem cell image test set according to the image training test ratio; Step S233: creating an image recognition model through an existing artificial intelligence platform, and training the image recognition model using the stem cell image training set, until each stem cell labeled image in the stem cell image training set has trained the image recognition model once; Step S234: Use the stem cell image test set to test the image recognition model and obtain the recognition accuracy. When the recognition accuracy is greater than or equal to the target recognition accuracy, the image recognition model training is completed and a cell type classification statistical model is obtained. When the recognition accuracy is less than the target recognition accuracy, continue to use the stem cell image training set to train the image recognition model until the recognition accuracy is greater than or equal to the target recognition accuracy.

4. The method for evaluating stem cells based on image analysis according to claim 3, characterized in that: The step S24 further includes the following specific steps: Step S241: acquiring the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data; Step S242: using the cell type classification statistical model to perform quantitative statistics on the first target stem cells in the first stem cell image to the jth stem cell image, respectively, to obtain j first target stem cell quantity values, and calculating the average of the obtained multiple first target stem cells to obtain an average quantity value of the first target stem cells; Step S243: obtaining the area values ​​of the human tissue samples corresponding to the first stem cell image to the jth stem cell image, obtaining the first tissue area value to the jth tissue area value, calculating the average of the first tissue area value and the jth tissue area value, and obtaining the average area value of the monitored tissue; Step S244: Calculate the ratio of the average number of first target stem cells to the average area of ​​the monitored tissue to obtain a first target stem cell monitoring density value; Step S245: respectively acquiring the stem cell monitoring density values ​​corresponding to the second target stem cell to the mth target stem cell, and obtaining the second target stem cell monitoring density value to the mth target stem cell monitoring density value; Step S246: respectively acquiring reference cell density values ​​corresponding to the first target stem cell to the mth target stem cell, to obtain the first reference cell density value to the mth reference cell density value; Step S247: calculating the first stem cell density deviation coefficient from the first target stem cell monitoring density value to the mth target stem cell monitoring density value and from the first reference cell density value to the mth reference cell density value; The first stem cell density deviation coefficient is calculated, and the specific formula is as follows: ； Among them, Gpc1 is the first stem cell density deviation coefficient, Mdz1 to Mdzm are the first target stem cell monitoring density value to the mth target stem cell monitoring density value, Mjz1 to Mjzm are the first reference cell density value to the mth reference cell density value, and m is the number of types corresponding to the target stem cells.

5. The stem cell evaluation method based on image analysis according to claim 1, characterized in that: The step S3 further includes the following specific steps: Step S31: Acquire stem cell monitoring image data, and acquire first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data; Step S32: Acquire stem cell density monitoring data, and acquire a cell type classification statistical model and the first target stem cell to the mth target stem cell according to the stem cell density monitoring data; Step S33: performing tissue stem cell morphology quality analysis on the first cycle image data to obtain a cell morphology quality coefficient corresponding to the first cycle image data, and naming it a first morphology quality coefficient; Step S34: acquiring the morphological quality coefficients corresponding to the second period image data to the xth period image data respectively, to obtain the second morphological quality coefficient to the xth morphological quality coefficient; Step S35: Calculate the average of the first morphological quality coefficient to the xth morphological quality coefficient to obtain the average deviation coefficient of the morphology of the cycled stem cells; Step S36: Calculate the variance of the first morphology quality coefficient to the xth morphology quality coefficient to obtain the variance of the periodic morphology quality coefficient; Step S37: Calculating the average deviation coefficient of the cycle stem cell morphology and the variance of the cycle morphology quality coefficient to obtain a second stem cell quality assessment coefficient; The second stem cell quality assessment coefficient is calculated, and the specific formula is as follows: ； Among them, Zlp2 is the second stem cell quality assessment coefficient, Xtp is the average deviation coefficient of cycle stem cell morphology, and Xfc is the variance of cycle morphology quality coefficient.

6. The method for evaluating stem cells based on image analysis according to claim 5, characterized in that: The step S33 further includes the following specific steps: Step S331: acquiring the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data; Step S332: using a cell type classification statistical model to mark the first target stem cells in the first stem cell image to the jth stem cell image to obtain a plurality of first target stem cells, and marking a characteristic target stem cell among the plurality of first target stem cells obtained, and naming the first characteristic stem cell; Step S333: acquiring an area value of the first characteristic stem cell in the first stem cell image to obtain a first characteristic area value; Step S334: acquiring a perimeter value of the first characteristic stem cell in the first stem cell image to obtain a first characteristic perimeter value; Step S335: Calculating the first characteristic area value and the first characteristic perimeter value to obtain a shape factor corresponding to the first characteristic stem cell; The shape factor corresponding to the first characteristic stem cell is calculated, and the specific formula is as follows: ； Among them, Xzy is the shape factor corresponding to the first characteristic stem cell, Zct is the first characteristic perimeter value, and Mjt is the first characteristic area value; Step S336: acquiring a shape factor for each first target stem cell in the first stem cell image to obtain a plurality of shape factors, and averaging the plurality of shape factors to obtain an average shape factor corresponding to the first target stem cell, thereby obtaining a first average shape factor; Step S337: respectively acquiring the average shape factors corresponding to the second target stem cell to the mth target stem cell to obtain the second shape factor to the mth shape factor; Step S338: acquiring reference shape factors corresponding to the first target stem cell and the mth target stem cell in the first stem cell image, and obtaining the first reference shape factor to the mth reference shape factor; Step S339: obtaining a first morphological quality coefficient by calculating the first shape factor to the m-th shape factor and the first reference shape factor to the m-th reference shape factor; The first form quality coefficient is calculated, and the specific formula is as follows: ； Among them, Xtx1 is the first morphological quality coefficient, Xyz1 to Xyzm are the first shape factor to the mth shape factor, Xyj1 to Xyjm are the first reference shape factor to the mth reference shape factor, and m is the number of types corresponding to the target stem cells.

7. The stem cell evaluation method based on image analysis according to claim 1, characterized in that: The step S4 further includes the following specific steps: Step S41: Acquire stem cell monitoring image data, and acquire first cycle image data to xth cycle image data respectively according to the stem cell monitoring image data; Step S42: Acquire stem cell density monitoring data, and acquire a cell type classification statistical model and the first target stem cell to the mth target stem cell according to the stem cell density monitoring data; Step S43: performing tissue stem cell activity quality analysis on the first cycle image data to obtain a cell activity quality coefficient corresponding to the first cycle image data, and naming it a first activity quality coefficient; Step S44: acquiring the activity quality coefficients corresponding to the second period image data to the xth period image data respectively, to obtain the second activity quality coefficient to the xth activity quality coefficient; Step S45: Calculate the average of the first activity mass coefficient to the xth activity mass coefficient to obtain the average deviation coefficient of the activity of the periodic stem cells; Step S46: Calculating the variance of the first activity mass coefficient to the xth activity mass coefficient to obtain the variance of the periodic activity mass coefficient; Step S47: Calculate the average deviation coefficient of the cycle stem cell density and the variance of the cycle activity quality coefficient to obtain a third stem cell quality assessment coefficient; The third stem cell quality assessment coefficient is calculated, and the specific formula is as follows: ； Among them, Zlp3 is the third stem cell quality assessment coefficient, Hxp is the mean deviation coefficient of cycle stem cell activity, and Hfc is the variance of the cycle activity quality coefficient.

8. The method for evaluating stem cells based on image analysis according to claim 7, characterized in that: The step S43 further includes the following specific steps: Step S431: acquiring the first stem cell image to the jth stem cell image corresponding to the first cell evaluation sub-cycle respectively according to the first cycle image data; Step S432: using a cell type classification statistical model to mark the first target stem cells in the first stem cell image to the jth stem cell image to obtain a plurality of first target stem cells, randomly selecting a first target stem cell from the plurality of first target stem cells as a sample target stem cell, and naming the first sample target stem cell; Step S433: In the first stem cell image, the lower left end point of the image is marked as the coordinate origin, a straight line is drawn through the coordinate origin parallel to the upper border of the image to obtain the coordinate x-axis, and a straight line is drawn through the coordinate origin perpendicular to the coordinate y-axis to obtain the coordinate y-axis, and the plane rectangular coordinate system composed of the coordinate origin, the coordinate x-axis and the coordinate y-axis is named as the cell activity monitoring rectangular coordinate system, and the cell activity monitoring rectangular coordinate system is established in the second stem cell image to the jth stem cell image respectively; Step S434: obtaining the acquisition interval time corresponding to the first stem cell image and the second stem cell image to obtain the first image acquisition interval time, obtaining the acquisition interval time corresponding to the second stem cell image and the third stem cell image to obtain the second image acquisition interval time, and so on, obtaining the acquisition interval time corresponding to the j-1 stem cell image and the j-1 stem cell image to obtain the j-1 image acquisition interval time. Step S435: obtaining the monitored displacement rate of the first sample target stem cells in the first cell evaluation sub-cycle; Step S436: acquiring the monitored displacement rate of each first target stem cell in the first cell evaluation sub-cycle respectively to obtain a plurality of monitored displacement rates, and calculating the average of the obtained plurality of monitored displacement rates to obtain the actual displacement rate of the first target stem cell; Step S437: respectively acquiring the actual displacement rates of the second target stem cell to the mth target stem cell in the first cell evaluation sub-cycle to obtain the actual displacement rate of the second target stem cell to the actual displacement rate of the mth target stem cell; Step S438: respectively acquiring reference displacement rates in the first cell evaluation sub-period corresponding to the first target stem cell to the mth target stem cell, and obtaining reference displacement rates of the first target stem cell to the mth target stem cell; Step S439: obtaining a first active mass coefficient by calculating the actual displacement rate of the first target stem cell to the actual displacement rate of the mth target stem cell and the reference displacement rate of the first target stem cell to the reference displacement rate of the mth target stem cell; The first active mass coefficient is calculated, and the specific formula is as follows: ； Wherein, Hx1 is the first active mass coefficient, Ws1 to Wsm are respectively the actual displacement rate of the first target stem cell to the actual displacement rate of the mth target stem cell, and Wj1 to Wjm are respectively the reference displacement rate of the first target stem cell to the reference displacement rate of the mth target stem cell; The step S435 further includes the following specific steps: Step S4351: in the first stem cell image, obtaining the coordinate position of the first sample target stem cell in the cell activity monitoring rectangular coordinate system to obtain a first coordinate position; Step S4352: in the second stem cell image, obtaining the coordinate position of the first sample target stem cell in the cell activity monitoring rectangular coordinate system to obtain a second coordinate position; Step S4353: The first coordinate position, the second coordinate position and the first image acquisition interval are calculated to obtain a movement rate of the first sample target stem cells within the first image acquisition interval, and the movement rate is named the first coordinate displacement rate; The displacement rate of the first coordinate is calculated, and the specific formula is as follows: ； Wherein, Vwy1 is the first coordinate displacement rate, (x1, y1) is the first coordinate position, (x2, y2) is the second coordinate position, and Tjd1 is the first image acquisition interval duration; Step S4354: acquiring the movement rate of the first sample target stem cells within the second image acquisition interval to the j-1th image acquisition interval, respectively, to obtain the second coordinate displacement rate to the j-1th coordinate displacement rate; Step S4355: Calculate the average of the displacement rates from the first coordinate to the j-1th coordinate to obtain the monitored displacement rate of the first sample target stem cell in the first cell evaluation sub-cycle.

9. The stem cell evaluation method based on image analysis according to claim 1, characterized in that: The step S5 further includes the following specific steps: Step S51: obtaining stem cell density monitoring data, and obtaining a first stem cell quality assessment coefficient according to the stem cell density monitoring data; Step S52: respectively obtaining a second stem cell quality assessment coefficient and a third stem cell quality assessment coefficient; Step S53: Calculating the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient and the third stem cell quality assessment coefficient to obtain a stem cell quality comprehensive assessment coefficient; The comprehensive evaluation coefficient of stem cell quality is calculated, and the specific formula is as follows: ； Among them, Zpg is the comprehensive evaluation coefficient of stem cell quality, Zlp1 is the first stem cell quality evaluation coefficient, Zlp2 is the second stem cell quality evaluation coefficient, and Zlp3 is the third stem cell quality evaluation coefficient; Step S54: obtaining a stem cell quality comprehensive assessment coefficient threshold, performing a numerical comparison between the stem cell quality comprehensive assessment coefficient and the stem cell quality comprehensive assessment coefficient threshold, and performing a stem cell comprehensive quality assessment on the patient according to the numerical comparison result; The step S54 further includes the following specific steps: Step S541: respectively obtaining a first stem cell quality assessment coefficient threshold, a second stem cell quality assessment coefficient threshold, and a third stem cell quality assessment coefficient threshold; Step S542: Calculating the first stem cell quality assessment coefficient threshold, the second stem cell quality assessment coefficient threshold, and the third stem cell quality assessment coefficient threshold to obtain a stem cell quality comprehensive assessment coefficient threshold; Step S543: When the stem cell quality comprehensive evaluation coefficient is greater than or equal to the stem cell quality comprehensive evaluation coefficient threshold, the patient's stem cell comprehensive quality evaluation is evaluated to be qualified; Step S544: When the stem cell quality comprehensive assessment coefficient is less than the stem cell quality comprehensive assessment coefficient threshold, the patient's stem cell comprehensive quality assessment is considered unqualified.

10. A stem cell evaluation system based on image analysis, applicable to a stem cell evaluation method based on image analysis as claimed in any one of claims 1 to 9, characterized in that: The specific working process of each module of the stem cell evaluation system is as follows: Data acquisition module: used to obtain the stem cell evaluation cycle, mark several characteristic monitoring time points within the stem cell evaluation cycle, obtain the patient's stem cell image corresponding to each characteristic monitoring time point, and obtain stem cell monitoring image data; Density analysis module: used to create a cell type classification statistical model based on stem cell density monitoring data to classify the types and count the number of stem cells in each patient's stem cell image, obtain the stem cell density coefficient corresponding to each stem cell evaluation cycle based on the statistical results, and analyze and obtain the first stem cell quality evaluation coefficient to obtain stem cell density monitoring data; Morphological analysis module: used to obtain morphological factors of stem cells in each patient's stem cell image according to stem cell density monitoring data and stem cell monitoring image data, and analyze and obtain the morphological quality coefficient corresponding to each stem cell evaluation cycle, and obtain the second stem cell quality evaluation coefficient by calculating multiple morphological quality coefficients; Activity analysis module: used to establish a cell activity monitoring rectangular coordinate system in each patient stem cell image, and to perform displacement rate analysis on a plurality of different types of stem cells and the time interval between each two consecutive patient stem cell images through the cell activity monitoring rectangular coordinate system to obtain a plurality of activity quality coefficients, and to obtain a third stem cell quality assessment coefficient by calculating the plurality of activity quality coefficients; Quality assessment module: used to conduct comprehensive stem cell quality assessment on patients based on the first stem cell quality assessment coefficient, the second stem cell quality assessment coefficient and the third stem cell quality assessment coefficient.

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