Construction method for myocardial ischemia animal model

Abstract

The invention relates to the technical field of animal experiments, and discloses a method for constructing a myocardial ischemia animal model, which comprises the following steps: calculating morphological characteristics of contrast mesenchymal stem cells in a preprocessed image, carrying out principal component analysis on the morphological characteristics, and outputting cell activity corresponding to the principal component through an activity analysis model; the method comprises the following steps: constructing an animal three-dimensional model of a myocardial injury animal, and collecting a culture environment of experimental mesenchymal stem cells; the method comprises the following steps: selecting a growth environment in a myocardial injury animal by utilizing a culture environment, collecting an environment image of the growth environment, and selecting a transplantation position of the myocardial injury animal from the environment image; and determining a three-dimensional position of a transplantation position from the animal three-dimensional model, constructing a transplantation path from the surface position to the three-dimensional position of the animal three-dimensional model, and transplanting the experimental mesenchymal stem cells to the transplantation position to obtain the orthotopic transplantation animal model. According to the invention, the cell activity recognition process capable of repairing myocardial injury can be realized, and sufficient growth space of cells is ensured.

Description

Technical Field

[0001] The invention relates to the technical field of animal experiments, and in particular to a method for constructing an animal model of myocardial ischemia. Background Art

[0002] Myocardial ischemia animal model refers to a myocardial ischemia-reperfusion injury model with myocardial repair function. The purpose of constructing a myocardial ischemia animal model is to generate myocardial ischemia-reperfusion injury in the animal body, so as to observe the growth of cells that can repair myocardial damage in the animal body and the effect of repairing myocardial damage.

[0003] At present, the construction of an animal model of myocardial ischemia includes causing myocardial damage and transplanting repair cells into mice. The former step is relatively mature, and the latter cell transplantation case is generally achieved by artificial expert decision-making, and the existing technology is disclosed. For example, the invention patent with publication number CN105853019B discloses a device for establishing an animal model of in situ transplanted tumors of mouse liver cancer, which is accurate, practical and convenient when performing injection operations on the liver of mice. The device includes a positioning plate A and a positioning plate B. The positioning plate A includes a front end plane A, a rear end plane and a right side plate, a groove A is connected between the front end plane A and the rear end plane, and an injection hole is opened on the front side of the groove A; the positioning plate B includes a front end plane B, a rear end inclined surface and a left side plate, a groove B is connected between the front end plane B and the rear end inclined surface, and an injection hole is opened on the front side of the groove B; the positioning plate A and the positioning plate B are connected through the groove to form an injection positioning plate, and after the connection, the positioning plate B is above the positioning plate A. The injection positioning plate is accurate and easy to operate, ensuring the reproducibility of the experiment and further improving the success rate of the model. It is suitable for the establishment of animal models in various liver cancer prevention and treatment studies and experimental operations such as in situ injection of mouse liver. However, this invention patent considers more the external structure of the mouse liver cancer in situ transplanted tumor animal model, but less the internal structure.

[0004] Secondly, some technologies that do not use manual expert decision-making but use artificial intelligence decision-making, such as the invention patent with publication number CN118398220A, which discloses a method for constructing an in situ transplantation animal model based on human glioma, collecting culture data of human glioma samples; collecting in situ transplanted animal data of M transplanted in situ transplanted animals within a first transplanted time period; analyzing according to the culture data of the human glioma samples, the in situ transplanted animal data of the M transplanted in situ transplanted animals and the first human glioma differentiation parameter, selecting the M transplanted in situ transplanted animals suffering from complications and immunosuppressive human glioma, and obtaining immune deep culture model data; after the human glioma cells are separated by in vitro culture, the cell activity is analyzed using a deep model, and after the cell activity meets the first condition, the transplantation position of the human glioma cells is selected to realize the construction of an in situ transplantation animal model of human glioma cells using stereotactic technology. This invention patent uses deep model technology to analyze immunosuppression data and human brain glioma inactivation cycles to determine cell activity. However, the amount of data involved in data analysis and cycle analysis is not only large but also complex. The need for long-term training of deep models makes the cell activity identification process more complicated.

[0005] Similarly, transplanting cells that can repair myocardial damage into animals also needs to consider cell activity and transplantation location, but there is no prior art that discloses a cell transplantation solution that can repair myocardial damage. In addition, whether there is enough growth space in the animal body for cells to survive is still a question. Therefore, a technical solution is urgently needed to realize the process of identifying the activity of cells that can repair myocardial damage and ensure that the cells have enough growth space. Summary of the invention

[0006] In order to solve the above problems, the present invention provides a method for constructing an animal model of myocardial ischemia, which can realize the cell activity identification process that can repair myocardial damage and ensure that the cells have sufficient growth space.

[0007] In a first aspect, the present invention provides a method for constructing an animal model of myocardial ischemia, comprising:

[0008] Performing myocardial injury treatment on experimental animals to obtain myocardial injury animals, culturing experimental mesenchymal stem cells and control mesenchymal stem cells of the myocardial injury animals, slicing the control mesenchymal stem cells to obtain sliced ​​cells, collecting slice images of the sliced ​​cells under a preset cell magnifying glass, and performing image preprocessing on the slice images to obtain preprocessed images;

[0009] Identifying a cell image corresponding to the sliced ​​cell in the preprocessed image, calculating the morphological characteristics of the control mesenchymal stem cells using the cell image, performing principal component analysis on the morphological characteristics to obtain an analysis principal component, and inputting the analysis principal component into a preset activity analysis model to output the cell activity corresponding to the analysis principal component through the activity analysis model;

[0010] Determine whether the cell activity meets the preset activity, and when the cell activity meets the preset activity, scan the three-dimensional coordinate points of the animal with myocardial injury, generate an animal three-dimensional model of the animal with myocardial injury according to the three-dimensional coordinate points, and collect the cell culture environment of the experimental mesenchymal stem cells and the control mesenchymal stem cells;

[0011] collecting physical examination information of the animal with myocardial injury, selecting a cell growth environment of the experimental mesenchymal stem cells corresponding to the cell culture environment in the animal with myocardial injury based on the physical examination information, collecting a growth environment image of the cell growth environment, and selecting a cell growth position of the experimental mesenchymal stem cells from the cell growth environment according to the growth environment image;

[0012] A virtual growth position corresponding to the cell growth position is identified from the animal three-dimensional model, a cell delivery path from the model surface position of the animal three-dimensional model to the virtual growth position is constructed, and according to the cell delivery path, the experimental mesenchymal stem cells are delivered to the cell growth position to obtain a myocardial ischemia animal model containing the experimental mesenchymal stem cells.

[0013] In a possible implementation of the first aspect, calculating the morphological characteristics of the control mesenchymal stem cells using the cell image includes:

[0014] Calculating the cell volume of the control mesenchymal stem cells according to the cell image;

[0015] Based on the cell volume, calculating the cell size of the control mesenchymal stem cells;

[0016] Calculating the nuclear volume of the control mesenchymal stem cells;

[0017] Calculating the nucleus-cytoplasm ratio of the control mesenchymal stem cells using the cell volume and the nucleus volume;

[0018] Calculating the cell surface area of ​​the control mesenchymal stem cells;

[0019] Calculating the cell centroid of the control mesenchymal stem cells;

[0020] Calculating the nuclear centroid of the control mesenchymal stem cells;

[0021] The cell volume, the cell size, the cell nuclear volume, the cell nuclear-cytoplasmic ratio, the cell surface area, the cell centroid and the cell nuclear centroid are used as the morphological characteristics of the control mesenchymal stem cells.

[0022] In a possible implementation manner of the first aspect, performing principal component analysis on the morphological features to obtain analysis principal components includes:

[0023] Decentralizing the morphological features to obtain decentralized features;

[0024] Calculating a covariance matrix of the decentralized features;

[0025] Performing eigenvalue decomposition on the covariance matrix to obtain eigenvalues ​​and eigenvectors;

[0026] Selecting a high eigenvalue from the eigenvalues;

[0027] Combine the high eigenvectors corresponding to the high eigenvalues ​​in the eigenvectors to obtain an eigenvector matrix;

[0028] The morphological features are converted into analysis principal components through the eigenvector matrix.

[0029] In a possible implementation of the first aspect, outputting the cell activity corresponding to the analysis principal component through the activity analysis model includes:

[0030] Extracting attention features of the analysis principal component using the attention mechanism in the activity analysis model;

[0031] Using the feature fusion layer in the activity analysis model to perform feature fusion on the attention features to obtain fused features;

[0032] Outputting the activity category corresponding to the fusion feature using the classification layer in the activity analysis model;

[0033] The activity category is referred to as the cell activity.

[0034] In a possible implementation of the first aspect, scanning the three-dimensional coordinate points of the animal with myocardial injury includes:

[0035] Acquiring internal scans of the animal with myocardial injury;

[0036] The internal scan image is used to calculate the three-dimensional coordinate points of the animal with myocardial injury.

[0037] In a possible implementation of the first aspect, selecting a cell growth environment corresponding to the cell culture environment of the experimental mesenchymal stem cells in the animal with myocardial injury based on the physical examination information includes:

[0038] Collecting a first environmental parameter and a first position distribution of the cell culture environment;

[0039] Acquire a second environmental parameter and a second location distribution in the animal with myocardial injury from the physical examination information;

[0040] Calculating the parameter similarity between the first environmental parameter and the second environmental parameter using a preset Pearson correlation coefficient;

[0041] Calculating distribution similarity between the first position distribution and the second position distribution;

[0042] Selecting a target growth environment from the animal with myocardial injury by using the parameter similarity and the distribution similarity;

[0043] Collecting historical environmental parameters of the first environmental parameter;

[0044] Analyzing the grey correlation between the historical environmental parameters and the cell volume of the control mesenchymal stem cells;

[0045] Calculating the correlation coefficient between the historical environmental parameter and the cell volume of the control mesenchymal stem cells;

[0046] Selecting target environmental parameters from the historical environmental parameters using the grey relational degree;

[0047] Determining the adjustment direction of the target environmental parameter that increases the cell volume of the control mesenchymal stem cells by using the correlation coefficient;

[0048] A growth environment that meets the target environment parameters and the adjustment direction is selected from the target growth environment.

[0049] In a possible implementation of the first aspect, selecting the cell growth position of the experimental mesenchymal stem cell from the cell growth environment according to the growth environment image includes:

[0050] Acquiring growth environment parameters of the cell growth environment corresponding to the growth environment image;

[0051] Obtaining the ungrown volume of the experimental mesenchymal stem cells;

[0052] Inputting the growth environment parameters and the non-growing volume into a preset long short-term memory neural network, so as to output the time period volume of the experimental mesenchymal stem cells in the next time period through the long short-term memory neural network;

[0053] Calculating an interior-boundary distance between an interior coordinate of a cell growth environment in the growth environment image and a boundary coordinate of the cell growth environment;

[0054] When the mean value of the inner-boundary distance is greater than the volume radius of the time period volume, the inner coordinate is used as the cell growth position.

[0055] In a possible implementation of the first aspect, constructing a cell transport path from a model surface position of the three-dimensional animal model to the virtual growth position includes:

[0056] Selecting coordinate points to be inoculated from the surface positions of the model;

[0057] Calculating the shortest distance between the coordinate point to be inoculated and the virtual growth position;

[0058] Sort the shortest distances from small to large to obtain sorted distances;

[0059] Selecting multiple short distances from the sorted distances; determining whether there are sensitive objects at the multiple short distances;

[0060] When there are sensitive objects at the multiple short distances, remove the short distances at which the sensitive objects exist from the multiple short distances to obtain remaining short distances;

[0061] The remaining short distance is used as the cell transport path.

[0062] In a possible implementation of the first aspect, the step of delivering the experimental mesenchymal stem cells to the cell growth location according to the cell delivery path to obtain a myocardial ischemia animal model containing the experimental mesenchymal stem cells comprises:

[0063] Obtaining a transplantation tool for transplanting the experimental mesenchymal stem cells;

[0064] planning a tool position and a tool direction of the transplantation tool according to the cell delivery path;

[0065] Based on the tool position and the tool direction, the experimental mesenchymal stem cells are transplanted to the cell growth location using the transplantation tool to obtain a myocardial ischemia animal model.

[0066] Compared with the prior art, the technical principle and beneficial effects of this solution are:

[0067] The embodiment of the present invention performs myocardial injury treatment on the experimental animal to prepare for the subsequent observation of the repair effect of mesenchymal stem cells on the myocardial injury of the experimental animal. Further, the embodiment of the present invention cultivates the experimental mesenchymal stem cells and the control mesenchymal stem cells of the myocardial injury animal to cultivate similar experimental mesenchymal stem cells and the control mesenchymal stem cells, and uses the cell activity detection result of the control mesenchymal stem cells to determine whether the experimental mesenchymal stem cells have cell activity. Further, the embodiment of the present invention performs cell slicing on the control mesenchymal stem cells to detect the morphological structure of the cells through the internal image of the cells after slicing. Further, the embodiment of the present invention calculates the morphological characteristics of the control mesenchymal stem cells by using the cell image to determine whether the cells are in an atrophic state or a plump state based on the cell morphology. Further, the embodiment of the present invention performs principal component analysis on the morphological characteristics to perform principal component analysis on the morphological characteristics to obtain useful morphological characteristics in the morphological characteristics. Further, the embodiment of the present invention outputs the cell activity corresponding to the analysis principal component through the activity analysis model to analyze the cell activity based on the cell morphology. Further, this The embodiment of the invention scans the three-dimensional coordinate points of the animal with myocardial injury to analyze the in vivo structural data of the mouse animal model, so as to facilitate the subsequent search for the location of the cell growth environment. Furthermore, the embodiment of the invention constructs an animal three-dimensional model of the animal with myocardial injury to analyze the in vivo environment of the animal with myocardial injury, so as to facilitate the subsequent determination of which environment to select as the cell transplantation location. Furthermore, the embodiment of the invention selects the cell growth environment corresponding to the cell culture environment of the experimental mesenchymal stem cells in the animal with myocardial injury to query the in vivo environment in the animal with myocardial injury where the experimental mesenchymal stem cells can be inoculated. Furthermore, the embodiment of the invention selects the cell growth position of the experimental mesenchymal stem cells from the cell growth environment according to the growth environment image, so as to pre-analyze the size of the cell growth in the future period through a neural network, so as to select the inoculation coordinate points that can ensure that the experimental mesenchymal stem cells grow to a sufficiently large volume. Furthermore, the embodiment of the invention constructs a cell delivery path from the model surface position of the animal three-dimensional model to the virtual growth position, so as to find the shortest delivery path that does not contact sensitive objects, thereby improving the cell delivery efficiency. Therefore, the method for constructing an animal model of myocardial ischemia proposed in the embodiment of the present invention can realize the process of identifying the activity of cells that can repair myocardial damage and ensure that the cells have sufficient space for growth. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0069] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0070] Figure 1 A schematic diagram of a process for constructing an animal model of myocardial ischemia provided in one embodiment of the present invention;

[0071] Figure 2 A schematic diagram of modules of a system for constructing an animal model of myocardial ischemia provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0072] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0073] The embodiment of the present invention provides a method for constructing an animal model of myocardial ischemia, and the execution subject of the method for constructing an animal model of myocardial ischemia includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present invention. In other words, the method for constructing an animal model of myocardial ischemia can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc. The server can be an independent server, or it can be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0074] See also Figure 1 FIG. 1 is a flow chart of a method for constructing an animal model of myocardial ischemia provided by an embodiment of the present invention. Figure 1 The method for constructing an animal model of myocardial ischemia described in the literature includes:

[0075] Performing myocardial injury treatment on experimental animals to obtain myocardial injury animals, culturing experimental mesenchymal stem cells and control mesenchymal stem cells of the myocardial injury animals, slicing the control mesenchymal stem cells to obtain sliced ​​cells, collecting slice images of the sliced ​​cells under a preset cell magnifying glass, and performing image preprocessing on the slice images to obtain preprocessed images;

[0076] Identifying a cell image corresponding to the sliced ​​cell in the preprocessed image, calculating the morphological characteristics of the control mesenchymal stem cells using the cell image, performing principal component analysis on the morphological characteristics to obtain an analysis principal component, and inputting the analysis principal component into a preset activity analysis model to output the cell activity corresponding to the analysis principal component through the activity analysis model;

[0077] Determine whether the cell activity meets the preset activity, and when the cell activity meets the preset activity, scan the three-dimensional coordinate points of the animal with myocardial injury, generate an animal three-dimensional model of the animal with myocardial injury according to the three-dimensional coordinate points, and collect the cell culture environment of the experimental mesenchymal stem cells and the control mesenchymal stem cells;

[0078] collecting physical examination information of the animal with myocardial injury, selecting a cell growth environment of the experimental mesenchymal stem cells corresponding to the cell culture environment in the animal with myocardial injury based on the physical examination information, collecting a growth environment image of the cell growth environment, and selecting a cell growth position of the experimental mesenchymal stem cells from the cell growth environment according to the growth environment image;

[0079] A virtual growth position corresponding to the cell growth position is identified from the animal three-dimensional model, a cell delivery path from the model surface position of the animal three-dimensional model to the virtual growth position is constructed, and according to the cell delivery path, the experimental mesenchymal stem cells are delivered to the cell growth position to obtain a myocardial ischemia animal model containing the experimental mesenchymal stem cells.

[0080] S1. Performing myocardial injury treatment on experimental animals to obtain myocardial injury animals, culturing experimental mesenchymal stem cells and control mesenchymal stem cells of the myocardial injury animals, performing cell slicing on the control mesenchymal stem cells to obtain sliced ​​cells, collecting slice images of the sliced ​​cells under a preset cell magnifying glass, and performing image preprocessing on the slice images to obtain preprocessed images.

[0081] The embodiment of the present invention performs myocardial injury treatment on experimental animals to prepare for subsequent observation of the repair effect of mesenchymal stem cells on myocardial injury in the experimental animals.

[0082] The experimental animals refer to experimental animals to be inoculated with mesenchymal stem cells, such as mice, and the myocardial injury animals refer to mice with whole body myocardial ischemia-reperfusion injury caused by surgery.

[0083] Optionally, the process of treating the experimental animals for myocardial injury to obtain animals with myocardial injury refers to: weighing the rats and then anesthetizing them, performing electrocardiogram testing before surgery, and connecting them to a ventilator; making an oblique incision on the left chest of the rat from the lower right to the upper left, separating the pectoral muscles layer by layer, cutting the intercostal muscles along the upper edge of the inferior vertebral bone at the 4th intercostal space to enter the chest cavity, and gently tearing the pericardium with tweezers; after squeezing out the heart, find the anterior descending coronary artery between the left atrial appendage and the pulmonary artery cone, ligate the anterior descending coronary artery with a 7-0 non-invasive suture at 3 mm away from the root of the aorta, remove the suture after ligation for 30 minutes, and immediately close the chest; extract the gas in the chest cavity to restore the negative pressure state in the chest cavity, and close the muscle layer and the skin layer respectively; after removing the ventilator, press the rat's chest several times to help restore spontaneous breathing; and inject penicillin intramuscularly for 3 consecutive days after surgery to prevent infection.

[0084] Furthermore, the embodiments of the present invention culture the experimental mesenchymal stem cells and the control mesenchymal stem cells of the myocardial injury animal to culture similar experimental mesenchymal stem cells and the control mesenchymal stem cells, and use the cell activity detection results of the control mesenchymal stem cells to determine whether the experimental mesenchymal stem cells have cell activity.

[0085] Among them, the experimental mesenchymal stem cells refer to cells to be inoculated into the body of an animal with myocardial injury to repair myocardial ischemia-reperfusion injury, and the control mesenchymal stem cells refer to the same cells as the experimental mesenchymal stem cells in the same growth environment and under the same growth conditions. It should be noted that mesenchymal stem cells can participate in the generation of new blood vessels in ischemic tissues and induce resident cardiac cells, and can be transformed into endothelial cells, smooth muscle cells and improve the function of resident cardiomyocytes, which are important cell components of the heart.

[0086] Furthermore, in the embodiment of the present invention, cell slicing is performed on the control mesenchymal stem cells to detect the morphological structure of the cells through the internal images of the cells after slicing.

[0087] The cell magnifying glass is, for example, a microscope, and the slice image refers to an image including the cell slice and background information of the cell slice.

[0088] Furthermore, in an embodiment of the present invention, the preprocessed image refers to an image containing clear cell boundary information after binarization, for example, the boundary between an image area with a value of 0 and an image area with a value of 1 is the boundary of the image area with a value of 1, and the image area with a value of 1 is the area where the cell slice is located.

[0089] Optionally, the process of performing image preprocessing on the slice image to obtain the preprocessed image refers to the process of converting the slice image into a grayscale image and then performing foreground and background segmentation on the grayscale image by binarization using a binarization threshold algorithm.

[0090] S2. Identify the cell image corresponding to the sliced ​​cell in the preprocessed image, use the cell image to calculate the morphological characteristics of the control mesenchymal stem cells, perform principal component analysis on the morphological characteristics to obtain analysis principal components, and input the analysis principal components into a preset activity analysis model to output the cell activity corresponding to the analysis principal components through the activity analysis model.

[0091] In the embodiment of the present invention, the cell image refers to an image of the sliced ​​cells from which background information of the sliced ​​cells is removed.

[0092] Furthermore, the embodiment of the present invention calculates the morphological characteristics of the control mesenchymal stem cells by using the cell image, so as to judge whether the cells are in an atrophic state or a plump state based on the cell morphology.

[0093] In one embodiment of the present invention, the calculating the morphological characteristics of the control mesenchymal stem cells using the cell image comprises: calculating the cell volume of the control mesenchymal stem cells using the following formula according to the cell image:

[0094]

[0095] Among them, v 1 represents the cell volume, z(x) represents the curve function fitted by the cell boundary coordinate points of the control mesenchymal stem cells in the cell image, and x 1 Indicates the horizontal coordinate of the starting point of z(x), x 2 represents the horizontal coordinate of the end point of z(x), y represents the coordinate of the serial number of the slice image of the control mesenchymal stem cell, 1 Indicates the starting sequence number of the slice image of the control mesenchymal stem cells, y 2 represents the end sequence number of the slice image of the control mesenchymal stem cells;

[0096] Based on the cell volume, the cell size of the control mesenchymal stem cells was calculated using the following formula:

[0097]

[0098] Where r represents the cell size, v 1 represents cell volume;

[0099] The nuclear volume of the control mesenchymal stem cells is calculated; the nuclear-cytoplasmic ratio of the control mesenchymal stem cells is calculated using the cell volume and the nuclear volume; the cell surface area of ​​the control mesenchymal stem cells is calculated using the following formula:

[0100]

[0101] Where s represents the cell surface area, z(x) represents the curve function fitted by the cell boundary coordinate points of the control mesenchymal stem cells in the cell image, and x 1 Indicates the horizontal coordinate of the starting point of z(x), x 2 represents the horizontal coordinate of the end point of z(x), y represents the coordinate of the serial number of the slice image of the control mesenchymal stem cell, 1 Indicates the starting sequence number of the slice image of the control mesenchymal stem cells, y 2 represents the end sequence number of the slice image of the control mesenchymal stem cells, z′(x) represents the derivative of z(x);

[0102] The cell centroid of the control mesenchymal stem cells was calculated using the following formula:

[0103]

[0104] Among them, (x 0 ,y 0 , z 0 ) represents the cell centroid, x i ,y i 、z i represents the pixel coordinates of the control mesenchymal stem cells in all cell images, i represents the pixel number of the control mesenchymal stem cells in all cell images, and n represents the number of pixels of the control mesenchymal stem cells in all cell images;

[0105] The cell nuclear centroid of the control mesenchymal stem cells is calculated; the cell volume, the cell particle size, the cell nuclear volume, the cell nuclear-cytoplasmic ratio, the cell surface area, the cell centroid and the cell nuclear centroid are used as the morphological characteristics of the control mesenchymal stem cells.

[0106] The nucleus-cytoplasm ratio refers to the ratio of the nucleus volume to the cytoplasm volume. It should be noted that the control mesenchymal stem cells are not in sheet form but three-dimensional, so there is more than one slice of the control mesenchymal stem cells. Therefore, y is the serial number of the slice image. For example, the slice of the cube-shaped control mesenchymal stem cells is a plurality of squares, and y is the serial number of these squares.

[0107] Optionally, the process of calculating the nuclear volume of the control mesenchymal stem cells refers to the process of calculating the volume of the nucleus in the cell, and the specific principle is similar to the principle of calculating the cell volume of the control mesenchymal stem cells using the following formula based on the cell image, and will not be further elaborated here. Furthermore, the principle of calculating the nuclear centroid of the control mesenchymal stem cells is similar to the principle of calculating the cell centroid of the control mesenchymal stem cells mentioned above, and will not be further elaborated here.

[0108] It should be noted that there are more than one control mesenchymal stem cells, which are multiple cell samples. Therefore, the calculated morphological features are the morphological features of multiple cells. Therefore, it is necessary to perform principal component analysis on the morphological features to obtain useful morphological features among the morphological features.

[0109] Furthermore, the embodiment of the present invention performs principal component analysis on the morphological features to obtain useful morphological features.

[0110] In one embodiment of the present invention, the principal component analysis of the morphological features to obtain the analysis principal components includes: decentralizing the morphological features to obtain decentralized features; calculating the covariance matrix of the decentralized features; performing eigenvalue decomposition on the covariance matrix to obtain eigenvalues ​​and eigenvectors; selecting high eigenvalues ​​from the eigenvalues; combining high eigenvectors corresponding to the high eigenvalues ​​in the eigenvectors to obtain an eigenvector matrix; and converting the morphological features into analysis principal components through the eigenvector matrix.

[0111] Exemplarily, the data set of morphological features such as cell volume is

[0112] X={x 1 ,x 2 ,x 3 ,…,x n}, it needs to be reduced to k dimensions, first remove the average value (i.e., decentralize), that is, subtract the average value from each feature, and secondly calculate the covariance matrix 1 / nXX T , use the eigenvalue decomposition method to find the covariance matrix 1 / nXX T , sort the eigenvalues ​​from large to small, select the largest k, and then use their corresponding k eigenvectors as row vectors to form an eigenvector matrix P, and transform the data X into a new space constructed by k eigenvectors, that is, Y=PX, where Y is the principal component for analysis.

[0113] Furthermore, the embodiment of the present invention outputs the cell activity corresponding to the analysis principal component through the activity analysis model, so as to analyze the cell activity based on the cell morphology.

[0114] In one embodiment of the present invention, outputting the cell activity corresponding to the analysis principal component through the activity analysis model includes: utilizing the attention mechanism in the activity analysis model to extract the attention feature of the analysis principal component; utilizing the feature fusion layer in the activity analysis model to perform feature fusion on the attention feature to obtain a fusion feature; utilizing the classification layer in the activity analysis model to output the activity category corresponding to the fusion feature; and using the activity category as the cell activity.

[0115] Among them, the attention mechanism refers to a data processing method that can selectively filter out a small amount of important information from a large amount of information and focus on this important information, ignoring most of the unimportant information, such as multi-head attention mechanism, self-attention mechanism and dot product attention mechanism, etc. The feature fusion layer is used to fuse multiple attention features with each other, such as summation formula and splicing function, etc. The classification layer is used to output the activity category probability corresponding to the fused feature. The classification layer is such as SVM algorithm, and the activity category includes active and inactive.

[0116] S3. Determine whether the cell activity meets the preset activity. When the cell activity meets the preset activity, scan the three-dimensional coordinate points of the animal with myocardial injury, generate an animal three-dimensional model of the animal with myocardial injury based on the three-dimensional coordinate points, and collect the cell culture environments of the experimental mesenchymal stem cells and the control mesenchymal stem cells.

[0117] In the embodiment of the present invention, the preset activity refers to being active.

[0118] When the cell activity meets the preset activity, it means that the cell activity of the experimental mesenchymal stem cells having a growth environment and growth conditions that are extremely similar to those of the control mesenchymal stem cells also meets the preset activity.

[0119] Furthermore, the embodiment of the present invention scans the three-dimensional coordinate points of the animal with myocardial injury to analyze the in vivo structural data of the mouse animal model, thereby facilitating the subsequent search for the location of the cell growth environment.

[0120] The three-dimensional coordinate points refer to virtual three-dimensional coordinates of the physical coordinate points of the animal with myocardial injury that are reduced by multiples.

[0121] In one embodiment of the present invention, scanning the three-dimensional coordinate points of the animal with myocardial injury includes: acquiring an internal scan image of the animal with myocardial injury; and calculating the three-dimensional coordinate points of the animal with myocardial injury using the internal scan image.

[0122] The internal scan image refers to the in vivo image of the animal with myocardial injury, such as a CT scan image and an MRI scan image.

[0123] Optionally, the process of calculating the three-dimensional coordinate points of the animal with myocardial injury using the internal scan image refers to the process of generating virtual three-dimensional coordinates of the animal with myocardial injury, for example by penetrating the object with X-rays and then converting the obtained data through computer tomography technology, thereby achieving high-resolution three-dimensional imaging of the internal structure of the object.

[0124] Furthermore, the embodiment of the present invention constructs a three-dimensional animal model of the animal with myocardial injury to analyze the internal environment of the animal with myocardial injury, thereby facilitating the subsequent determination of which environment to select as the cell transplantation location.

[0125] Optionally, the process of generating the animal three-dimensional model of the animal with myocardial injury based on the three-dimensional coordinate points refers to the process of fitting the three-dimensional coordinate points into a surface, so as to obtain the animal three-dimensional model, such as a process achieved by techniques such as multi-plane reconstruction and surface reconstruction. It should be noted that techniques such as multi-plane reconstruction and surface reconstruction can fit the three-dimensional coordinate points into planes or surfaces.

[0126] Furthermore, in the embodiment of the present invention, the cell culture environment includes environmental parameters during cell culture, parameters of added solvents or other chemicals, and the distribution position of each biological substance or physical substance.

[0127] S4. Collecting physical examination information of the animal with myocardial injury, selecting a cell growth environment of the experimental mesenchymal stem cells corresponding to the cell culture environment in the animal with myocardial injury based on the physical examination information, collecting a growth environment image of the cell growth environment, and selecting a cell growth position of the experimental mesenchymal stem cells from the cell growth environment according to the growth environment image.

[0128] In the embodiment of the present invention, the physical examination information refers to the results of detecting the internal parameters of the animal with myocardial injury, such as the appearance parameters, content and biological species of the internal environment of the animal with myocardial injury.

[0129] Furthermore, the embodiment of the present invention selects a cell growth environment of the experimental mesenchymal stem cells corresponding to the cell culture environment in the animal with myocardial injury, so as to query the in vivo environment in the animal with myocardial injury where the experimental mesenchymal stem cells can be inoculated.

[0130] The cell growth environment refers to an environment in the animal with myocardial injury that is similar to the cell culture environment.

[0131] In one embodiment of the present invention, based on the physical examination information, selecting the cell growth environment corresponding to the cell culture environment of the experimental mesenchymal stem cells in the myocardial injury animal includes: collecting the first environmental parameter and the first position distribution of the cell culture environment; obtaining the second environmental parameter and the second position distribution in the myocardial injury animal from the physical examination information; calculating the parameter similarity between the first environmental parameter and the second environmental parameter using a preset Pearson correlation coefficient; and calculating the distribution similarity between the first position distribution and the second position distribution using the following formula:

[0132]

[0133] Among them, S represents the distribution similarity, u j represents the coordinates of the j-type substance in the first position distribution, u j ' represents the coordinates of the j-type substance in the second position distribution, and m represents the total number of substance types in the first position distribution;

[0134] The target growth environment is selected from the animal with myocardial injury by using the parameter similarity and the distribution similarity; the historical environmental parameters of the first environmental parameters are collected; the grey correlation between the historical environmental parameters and the cell volume of the control mesenchymal stem cells is analyzed; the correlation coefficient between the historical environmental parameters and the cell volume of the control mesenchymal stem cells is calculated; the target environmental parameters are selected from the historical environmental parameters by using the grey correlation; the adjustment direction of the target environmental parameters that increases the cell volume of the control mesenchymal stem cells is determined by using the correlation coefficient; and the growth environment that meets the target environmental parameters and the adjustment direction is selected from the target growth environment.

[0135] Among them, the target growth environment refers to the growth environment in the body of the myocardial injury animal whose parameter similarity is greater than the distribution similarity, and the historical environment parameters refer to the parameters of the cell culture environment in the historical period, that is, the parameter samples of other culture environments similar to the cell culture environment. It should be noted that when the value of the correlation coefficient is greater than 0 and less than 1, the historical environment parameters are positively correlated with the cell volume of the control mesenchymal stem cells, and when the value of the correlation coefficient is greater than negative 1 and less than 0, the historical environment parameters are negatively correlated with the cell volume of the control mesenchymal stem cells. Furthermore, the gray correlation degree represents the historical environment The target environment parameters refer to several parameters with a high correlation with the cell volume of the control mesenchymal stem cells. The adjustment direction refers to the direction of increasing or decreasing the target environment parameters. It should be noted that since there are multiple target growth environments, the target environment parameters exist in the target growth environment, and when the values ​​of these parameters are greater than or less than the parameters in other target environments, the adjustment direction is used to determine which parameter values ​​increase or decrease to increase the cell volume, thereby selecting a target growth environment with a small or large value as the cell growth environment.

[0136] Optionally, the algorithm for calculating the correlation coefficient between the historical environmental parameters and the cell volume of the control mesenchymal stem cells is, for example, the Pearson correlation coefficient.

[0137] Furthermore, in the embodiment of the present invention, the growth environment image refers to an internal structure image of the cell growth environment, such as a CT scan image.

[0138] Furthermore, the embodiment of the present invention selects the cell growth position of the experimental mesenchymal stem cells from the cell growth environment based on the growth environment image, so as to pre-analyze the size of the cell growth in the future period through a neural network, thereby selecting the inoculation coordinate points that can ensure that the experimental mesenchymal stem cells grow to a sufficiently large volume.

[0139] The cell growth position refers to the coordinate point of the initial ungrown morphology used for inoculating the experimental mesenchymal stem cells in the cell growth environment.

[0140] In one embodiment of the present invention, selecting the cell growth position of the experimental mesenchymal stem cells from the cell growth environment according to the growth environment image includes: obtaining the growth environment parameters of the cell growth environment corresponding to the growth environment image; obtaining the ungrown volume of the experimental mesenchymal stem cells; inputting the growth environment parameters and the ungrown volume into a preset long short-term memory neural network to output the time period volume of the experimental mesenchymal stem cells in the next time period through the long short-term memory neural network; calculating the internal-boundary distance between the internal coordinates of the cell growth environment in the growth environment image and the boundary coordinates of the cell growth environment; when the mean value of the internal-boundary distance is greater than the volume radius of the time period volume, using the internal coordinates as the cell growth position.

[0141] Among them, the growth environment parameter refers to the second environment parameter, and the ungrown volume refers to the volume of the experimental mesenchymal stem cells before cell transplantation. It should be noted that the long short-term memory neural network can predict the parameters of the next time period based on the parameters of the previous time period. Therefore, the long short-term memory neural network can analyze the volume of the next time period based on the basic volume of the previous time period, that is, the volume size after the cells grow.

[0142] S5. Identify a virtual growth position corresponding to the cell growth position in the animal three-dimensional model, construct a cell delivery path from the model surface position of the animal three-dimensional model to the virtual growth position, and deliver the experimental mesenchymal stem cells to the cell growth position according to the cell delivery path to obtain a myocardial ischemia animal model containing the experimental mesenchymal stem cells.

[0143] In the embodiment of the present invention, the virtual growth position refers to a virtual three-dimensional position corresponding to the actual transplantation position in the animal three-dimensional model.

[0144] Furthermore, the embodiment of the present invention constructs a cell delivery path from the model surface position of the three-dimensional animal model to the virtual growth position, so as to find the shortest delivery path that does not contact sensitive objects, thereby improving the cell delivery efficiency.

[0145] In one embodiment of the present invention, the cell delivery path from the model surface position of the animal three-dimensional model to the virtual growth position is constructed, including: selecting a coordinate point to be inoculated from the model surface position; calculating the shortest distance between the coordinate point to be inoculated and the virtual growth position; sorting the shortest distance from small to large to obtain a sorted distance; selecting a plurality of short distances from the sorted distances; determining whether there are sensitive objects on the plurality of short distances; when there are sensitive objects on the plurality of short distances, removing the short distances on which the sensitive objects exist from the plurality of short distances to obtain the remaining short distances; and using the remaining short distances as the cell delivery path.

[0146] Among them, the coordinate point to be inoculated refers to the coordinate point where the inoculation needle can be inserted, the shortest distance refers to the shortest straight-line distance between different coordinate points to be inoculated and the virtual growth position, the multiple short distances refer to the top few shortest distances, and the sensitive object refers to an object in the organism that cannot be inserted with a needle or an object that is easy to leave a needle track and thus cause the experimental mesenchymal stem cells to spread to other places in the organism.

[0147] In one embodiment of the present invention, the experimental mesenchymal stem cells are transported to the cell growth location according to the cell delivery path to obtain a myocardial ischemia animal model containing the experimental mesenchymal stem cells, including: obtaining a transplantation tool for transplanting the experimental mesenchymal stem cells; planning a tool position and a tool direction of the transplantation tool according to the cell delivery path; and based on the tool position and the tool direction, using the transplantation tool to transplant the experimental mesenchymal stem cells to the cell growth location to obtain a myocardial ischemia animal model.

[0148] Among them, the transplantation tool refers to the needle tube loaded with the experimental mesenchymal stem cells, the tool position refers to the physical actual coordinates corresponding to the virtual three-dimensional coordinate points on the cell delivery path, and the tool direction refers to the moving direction on the cell delivery path.

[0149] It can be seen that the embodiment of the present invention performs myocardial injury treatment on the experimental animal to prepare for the subsequent observation of the repair effect of mesenchymal stem cells on the myocardial injury of the experimental animal. Further, the embodiment of the present invention cultivates the experimental mesenchymal stem cells and the control mesenchymal stem cells of the animal with myocardial injury to cultivate similar experimental mesenchymal stem cells and the control mesenchymal stem cells, and uses the cell activity detection result of the control mesenchymal stem cells to determine whether the experimental mesenchymal stem cells have cell activity. Further, the embodiment of the present invention performs cell slicing on the control mesenchymal stem cells to detect the morphological structure of the cells through the internal image of the cells after slicing. Further, the embodiment of the present invention calculates the morphological characteristics of the control mesenchymal stem cells by using the cell image to determine whether the cells are in an atrophic state or a plump state based on the cell morphology. Further, the embodiment of the present invention performs principal component analysis on the morphological characteristics to perform principal component analysis on the morphological characteristics to obtain useful morphological characteristics in the morphological characteristics. Further, the embodiment of the present invention outputs the cell activity corresponding to the analysis principal component through the activity analysis model to analyze the cell activity based on the cell morphology. In the embodiment of the present invention, the three-dimensional coordinate points of the animal with myocardial injury are scanned to analyze the in vivo structural data of the mouse animal model, so as to facilitate the subsequent search for the location of the cell growth environment. Furthermore, the embodiment of the present invention constructs an animal three-dimensional model of the animal with myocardial injury to analyze the in vivo environment of the animal with myocardial injury, so as to facilitate the subsequent determination of which environment to select as the cell transplantation location. Furthermore, the embodiment of the present invention selects the cell growth environment of the experimental mesenchymal stem cells corresponding to the cell culture environment in the animal with myocardial injury, so as to query the in vivo environment in the animal with myocardial injury where the experimental mesenchymal stem cells can be inoculated. Furthermore, the embodiment of the present invention selects the cell growth position of the experimental mesenchymal stem cells from the cell growth environment according to the growth environment image, so as to pre-analyze the size of the cell growth in the future period through a neural network, so as to select the inoculation coordinate points that can ensure that the experimental mesenchymal stem cells grow to a sufficiently large volume. Furthermore, the embodiment of the present invention constructs a cell delivery path from the model surface position of the animal three-dimensional model to the virtual growth position, so as to find the shortest delivery path that does not contact sensitive objects, thereby improving the cell delivery efficiency. Therefore, the method for constructing an animal model of myocardial ischemia proposed in the embodiment of the present invention can realize the process of identifying the activity of cells that can repair myocardial damage and ensure that the cells have sufficient space for growth.

[0150] like Figure 2 The figure shows a functional module diagram of a system for constructing a myocardial ischemia animal model according to the present invention.

[0151] The system 200 for constructing a myocardial ischemia animal model of the present invention can be installed in an electronic device. According to the functions to be implemented, the system for constructing a myocardial ischemia animal model can include an image preprocessing module 201, an activity output module 202, an environment acquisition module 203, a position selection module 204 and a cell transplantation module 205. The module of the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0152] In the embodiment of the present invention, the functions of each module / unit are as follows:

[0153] The image preprocessing module 201 is used to perform myocardial injury treatment on the experimental animal to obtain the myocardial injury animal, culture the experimental mesenchymal stem cells and the control mesenchymal stem cells of the myocardial injury animal, perform cell slicing on the control mesenchymal stem cells to obtain sliced ​​cells, collect slice images of the sliced ​​cells under a preset cell magnifying glass, and perform image preprocessing on the slice images to obtain preprocessed images;

[0154] The activity output module 202 is used to identify the cell image corresponding to the sliced ​​cell in the pre-processed image, calculate the morphological characteristics of the control mesenchymal stem cells using the cell image, perform principal component analysis on the morphological characteristics to obtain analysis principal components, and input the analysis principal components into a preset activity analysis model to output the cell activity corresponding to the analysis principal components through the activity analysis model;

[0155] The environment acquisition module 203 is used to determine whether the cell activity meets the preset activity. When the cell activity meets the preset activity, the three-dimensional coordinate points of the animal with myocardial injury are scanned, and a three-dimensional animal model of the animal with myocardial injury is generated according to the three-dimensional coordinate points, and the cell culture environment of the experimental mesenchymal stem cells and the control mesenchymal stem cells is collected;

[0156] The position selection module 204 is used to collect the physical examination information of the animal with myocardial injury, select the cell growth environment of the experimental mesenchymal stem cells corresponding to the cell culture environment in the animal with myocardial injury based on the physical examination information, collect the growth environment image of the cell growth environment, and select the cell growth position of the experimental mesenchymal stem cells from the cell growth environment according to the growth environment image;

[0157] The cell transplantation module 205 is used to identify the virtual growth position corresponding to the cell growth position in the animal three-dimensional model, construct a cell delivery path from the model surface position of the animal three-dimensional model to the virtual growth position, and deliver the experimental mesenchymal stem cells to the cell growth position according to the cell delivery path to obtain a myocardial ischemia animal model containing the experimental mesenchymal stem cells.

[0158] In detail, the modules in the system 200 for constructing an animal model of myocardial ischemia in the embodiment of the present invention are used in the same manner as described above. Figure 1 The same technical means as the method for constructing an animal model of myocardial ischemia described in , and can produce the same technical effects, will not be repeated here.

[0159] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0160] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0161] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0162] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0163] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A method for constructing an animal model of myocardial ischemia, characterized in that: The method comprises: Performing myocardial injury treatment on experimental animals to obtain myocardial injury animals, culturing experimental mesenchymal stem cells and control mesenchymal stem cells of the myocardial injury animals, slicing the control mesenchymal stem cells to obtain sliced ​​cells, collecting slice images of the sliced ​​cells under a preset cell magnifying glass, and performing image preprocessing on the slice images to obtain preprocessed images; Identifying a cell image corresponding to the sliced ​​cell in the preprocessed image, calculating the morphological characteristics of the control mesenchymal stem cells using the cell image, performing principal component analysis on the morphological characteristics to obtain an analysis principal component, and inputting the analysis principal component into a preset activity analysis model to output the cell activity corresponding to the analysis principal component through the activity analysis model; Determine whether the cell activity meets the preset activity, and when the cell activity meets the preset activity, scan the three-dimensional coordinate points of the animal with myocardial injury, generate an animal three-dimensional model of the animal with myocardial injury according to the three-dimensional coordinate points, and collect the cell culture environment of the experimental mesenchymal stem cells and the control mesenchymal stem cells; collecting physical examination information of the animal with myocardial injury, selecting a cell growth environment of the experimental mesenchymal stem cells corresponding to the cell culture environment in the animal with myocardial injury based on the physical examination information, collecting a growth environment image of the cell growth environment, and selecting a cell growth position of the experimental mesenchymal stem cells from the cell growth environment according to the growth environment image; A virtual growth position corresponding to the cell growth position is identified from the animal three-dimensional model, a cell delivery path from the model surface position of the animal three-dimensional model to the virtual growth position is constructed, and according to the cell delivery path, the experimental mesenchymal stem cells are delivered to the cell growth position to obtain a myocardial ischemia animal model containing the experimental mesenchymal stem cells.

2. The method according to claim 1, characterized in that The step of calculating the morphological characteristics of the control mesenchymal stem cells using the cell image comprises: Calculating the cell volume of the control mesenchymal stem cells according to the cell image; Based on the cell volume, calculating the cell size of the control mesenchymal stem cells; Calculating the nuclear volume of the control mesenchymal stem cells; Calculating the nucleus-cytoplasm ratio of the control mesenchymal stem cells using the cell volume and the nucleus volume; Calculating the cell surface area of ​​the control mesenchymal stem cells; Calculating the cell centroid of the control mesenchymal stem cells; Calculating the nuclear centroid of the control mesenchymal stem cells; The cell volume, the cell size, the cell nuclear volume, the cell nuclear-cytoplasmic ratio, the cell surface area, the cell centroid and the cell nuclear centroid are used as the morphological characteristics of the control mesenchymal stem cells.

3. The method according to claim 1, characterized in that: The performing of principal component analysis on the morphological features to obtain the principal components of the analysis includes: Decentralizing the morphological features to obtain decentralized features; Calculating a covariance matrix of the decentralized features; Performing eigenvalue decomposition on the covariance matrix to obtain eigenvalues ​​and eigenvectors; Selecting a high eigenvalue from the eigenvalues; Combine the high eigenvectors corresponding to the high eigenvalues ​​in the eigenvectors to obtain an eigenvector matrix; The morphological features are converted into analysis principal components through the eigenvector matrix.

4. The method according to claim 1, characterized in that Outputting the cell activity corresponding to the analysis principal component through the activity analysis model includes: Extracting attention features of the analysis principal component using the attention mechanism in the activity analysis model; Using the feature fusion layer in the activity analysis model to perform feature fusion on the attention features to obtain fused features; Outputting the activity category corresponding to the fusion feature using the classification layer in the activity analysis model; The activity category is referred to as the cell activity.

5. The method according to claim 1, characterized in that The scanning of the three-dimensional coordinate points of the animal with myocardial injury comprises: Acquiring internal scans of the animal with myocardial injury; The internal scan image is used to calculate the three-dimensional coordinate points of the animal with myocardial injury.

6. The method according to claim 1, characterized in that The step of selecting a cell growth environment corresponding to the cell culture environment for the experimental mesenchymal stem cells from the animal with myocardial injury based on the physical examination information comprises: Collecting a first environmental parameter and a first position distribution of the cell culture environment; Acquire a second environmental parameter and a second location distribution in the animal with myocardial injury from the physical examination information; Calculating the parameter similarity between the first environmental parameter and the second environmental parameter using a preset Pearson correlation coefficient; Calculating distribution similarity between the first position distribution and the second position distribution; selecting a target growth environment from the animal with myocardial injury by using the parameter similarity and the distribution similarity; Collecting historical environmental parameters of the first environmental parameter; Analyzing the grey correlation between the historical environmental parameters and the cell volume of the control mesenchymal stem cells; Calculating the correlation coefficient between the historical environmental parameter and the cell volume of the control mesenchymal stem cells; Selecting target environmental parameters from the historical environmental parameters using the grey correlation degree; Determining the adjustment direction of the target environmental parameter that increases the cell volume of the control mesenchymal stem cells by using the correlation coefficient; A growth environment that meets the target environment parameters and the adjustment direction is selected from the target growth environment.

7. The method according to claim 1, characterized in that The step of selecting the cell growth position of the experimental mesenchymal stem cells from the cell growth environment according to the growth environment image includes: Acquiring growth environment parameters of the cell growth environment corresponding to the growth environment image; Obtaining the ungrown volume of the experimental mesenchymal stem cells; Inputting the growth environment parameters and the non-growing volume into a preset long short-term memory neural network, so as to output the time period volume of the experimental mesenchymal stem cells in the next time period through the long short-term memory neural network; Calculating an interior-boundary distance between an interior coordinate of a cell growth environment in the growth environment image and a boundary coordinate of the cell growth environment; When the mean value of the inner-boundary distance is greater than the volume radius of the time period volume, the inner coordinate is used as the cell growth position.

8. The method according to claim 1, characterized in that The step of constructing a cell transport path from a model surface position of the animal three-dimensional model to the virtual growth position comprises: Selecting coordinate points to be inoculated from the surface positions of the model; Calculating the shortest distance between the coordinate point to be inoculated and the virtual growth position; Sort the shortest distances from small to large to obtain sorted distances; Selecting multiple short distances from the sorted distances; determining whether there are sensitive objects at the multiple short distances; When there are sensitive objects at the multiple short distances, remove the short distances at which the sensitive objects exist from the multiple short distances to obtain remaining short distances; The remaining short distance is used as the cell transport path.

9. The method according to claim 1, characterized in that: The method of delivering the experimental mesenchymal stem cells to the cell growth location according to the cell delivery path to obtain a myocardial ischemia animal model containing the experimental mesenchymal stem cells comprises: Obtaining a transplantation tool for transplanting the experimental mesenchymal stem cells; planning a tool position and a tool direction of the transplantation tool according to the cell delivery path; Based on the tool position and the tool direction, the experimental mesenchymal stem cells are transplanted to the cell growth location using the transplantation tool to obtain a myocardial ischemia animal model.

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