Methods for locating regions of interest in the blood membrane on blood smears and cell image analyzers

Abstract

A method and a cell image analyzer for locating a region of interest (ROI) on a blood smear are provided. The method includes: a control device acquiring the initial and final imaging positions of an image capturing device for cell imaging of the blood smear, wherein the line connecting the initial and final imaging positions passes through the ROI (101); the control device causing relative movement between the image capturing device and the blood smear, and causing the image capturing device to capture multiple cell images at different positions on the blood smear starting from the initial imaging point until the relative movement and imaging stop at the final imaging position (102); and the control device determining the target position of the ROI based on the image features and imaging positions of the multiple cell images (103). This analyzer allows users to locate the ROI more quickly and accurately, and facilitates increasing the scanning area of ​​the ROI according to user needs.

Description

Technical Field

[0001] This invention relates to the field of medical testing, specifically to a method for locating the region of interest (ROI) of a blood film on a blood smear and a cell image analyzer. Background Technology

[0002] In the field of medical diagnostics, as testing laboratories become increasingly automated, the demand for automated testing is also increasing.

[0003] Fully automated digital image analysis systems for blood cells can automatically load and unload blood smears, perform cell localization and imaging, and identify and pre-classify cells. Their detection speed and image quality are significantly improved, and they can, to some extent, replace manual microscopic examination. Existing digital image analysis systems automatically scan blood smears, focusing on the body-tail junction of the blood membrane, a region suitable for observing red and white blood cells. However, platelet aggregation and large abnormal cells may appear in other parts of the blood smear, and scanning only the body-tail junction carries the risk of missed detections. Summary of the Invention

[0004] To solve the above-mentioned technical problems, or at least partially solve them, this application provides a method for locating the region of interest (ROI) on a blood smear and a cell image analyzer, which facilitates users to locate the ROI more quickly and accurately, and allows for increasing the scanning area of ​​the ROI according to user needs.

[0005] In a first aspect, this application provides a method for locating a region of interest on a blood film in a blood smear, the method comprising:

[0006] The control device acquires the starting and ending imaging positions of the image capturing device when capturing cells from a blood smear, wherein the line connecting the starting and ending imaging positions passes through the region of interest;

[0007] The control device causes the image capturing device to move relative to the blood smear, and causes the image capturing device to capture multiple cell images at different positions of the blood smear from the starting point until the final capturing position when the relative movement and capturing stop.

[0008] The control device determines the target location of the region of interest based on the image features and shooting positions of the multiple cell images.

[0009] Secondly, a method for locating a region of interest on a blood film in a blood smear is provided, the method comprising:

[0010] The control device acquires the initial imaging position and preset movement direction of the image imaging device for cell imaging of the blood smear;

[0011] The control device causes the image capturing device to move relative to the blood smear, so that the image capturing device can capture cell images of the blood smear from the starting point along the preset moving direction and analyze the cell images.

[0012] When the control device determines that the change in the image features of the current cell image relative to the image features of cell images taken before or after the current cell image meets a third preset condition, the shooting position of the current cell image is determined as the target position of the region of interest.

[0013] Thirdly, a method for locating a region of interest on a blood film in a blood smear is provided, the method comprising:

[0014] The control device receives the mode selection command;

[0015] When the mode selection instruction received by the control device is dynamic mode, the target position of the region of interest is determined according to the above method;

[0016] When the mode selection instruction received by the control device is a fixed mode, the target position of a fixed preset region of interest is obtained;

[0017] The control device controls the relative movement of the image capturing device and the blood smear according to the target position of the region of interest, so as to locate the target position of the region of interest.

[0018] Fourthly, a cell image analyzer is provided, comprising:

[0019] An image capturing device, comprising a camera and a lens assembly, is used to capture images of cells in a blood film on a blood smear.

[0020] A smear moving device for moving the image capturing device and the blood smear relative to each other;

[0021] A control device, communicatively connected to the image capturing device and the smear moving device, and configured to:

[0022] The starting and ending imaging positions of the image capturing device for cell imaging of the blood smear are obtained, wherein the line connecting the starting and ending imaging positions passes through the region of interest of the blood smear.

[0023] Control the smear moving device so that the image capturing device moves relative to the blood smear;

[0024] The image capturing device is controlled to capture multiple cell images at different locations on the blood smear starting from the initial capturing point, until the final capturing position is reached and the operation of the smear moving device and the image capturing device is stopped.

[0025] Based on the image features and shooting locations of the multiple cell images, the target location of the region of interest is determined.

[0026] Fifthly, a cell image analyzer is provided, comprising:

[0027] An image capturing device, comprising a camera and a lens assembly, is used to capture images of cells in a blood film on a blood smear.

[0028] A smear moving device for moving the image capturing device and the blood smear relative to each other;

[0029] A control device, communicatively connected to the image capturing device and the smear moving device, and configured to:

[0030] The starting position and preset movement direction of the image capturing device for cell imaging of the blood smear are obtained;

[0031] Control the smear moving device so that the image capturing device moves relative to the blood smear;

[0032] The image capturing device is controlled to capture cell images of the blood smear starting from the initial capturing point and the cell images are analyzed.

[0033] When the change in the image features of the current cell image relative to the image features of cell images taken before or after the current cell image meets a preset condition, the shooting position of the current cell image is determined as the target position of the region of interest.

[0034] Sixthly, a cell image analyzer is provided, comprising:

[0035] An image capturing device, comprising a camera and a lens assembly, is used to capture images of cells in a blood film on a blood smear.

[0036] A smear moving device for moving the image capturing device and the blood smear relative to each other;

[0037] A mode selection device is used to select a dynamic mode or a fixed mode. In the dynamic mode, the target position of the region of interest can be dynamically determined according to different blood smears, while in the fixed mode, the target position of the region of interest can be fixedly preset.

[0038] The control device is communicatively connected to the image capturing device, the smear moving device, and the mode selection device, and is configured to:

[0039] Obtain the mode selection result from the mode selection device.

[0040] When the dynamic mode is selected, the method described in any one of the claims is implemented.

[0041] When the fixed mode is selected, the target location of the fixed preset region of interest is obtained.

[0042] Based on the target location of the region of interest, the smear moving device is controlled to move relative to the blood smear so as to locate the target location of the region of interest.

[0043] In this embodiment of the invention, multiple cell images are first captured from the initial shooting position. Then, the target location of the region of interest is determined by the features of the multiple cell images and the shooting position. The target location can be the blood membrane boundary, such as the long edges of the two sides of the blood membrane or the tail edge of the blood membrane. This solves the problem in the prior art that it is not possible to automatically locate the long edges of the two sides or the tail edge of the blood membrane for image capture. This makes it easier for users to locate the region of interest faster and more accurately, and to increase the scanning area of ​​the region of interest according to user needs. Attached Figure Description

[0044] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0045] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0046] Figure 1 The diagram shows a flowchart of a method for locating a region of interest according to an embodiment of the present invention.

[0047] Figure 2 The diagram shown is a schematic representation of the blood membrane according to an embodiment of the present invention;

[0048] Figures 3 to 5 The image shown is a schematic diagram of a cell image according to an embodiment of the present invention;

[0049] Figure 6 The diagram shown is a schematic diagram of the edge shooting path according to an embodiment of the present invention;

[0050] Figure 7 , Figure 8 The diagram shown is a schematic representation of the tail of the blood membrane according to an embodiment of the present invention;

[0051] Figure 9 The diagram shown is a schematic diagram of the tail-end shooting path according to an embodiment of the present invention;

[0052] Figure 10 The diagram shown is a schematic representation of the shooting path according to an embodiment of the present invention;

[0053] Figure 11 , Figure 12 The diagram shown is a schematic representation of the cell image analyzer according to an embodiment of the present invention.

[0054] Figure 13 The diagram shown is a structural schematic of the control device according to an embodiment of the present invention;

[0055] Figures 14 to 16 Figures 19 and 20 are schematic diagrams illustrating the confirmation of the region of interest in an embodiment of the present invention;

[0056] Figures 17-18 , Figures 21 to 22 The diagram shown is a flowchart of the method for confirming the determination of the region of interest according to an embodiment of the present invention;

[0057] Figure 23 The diagram shown is a schematic diagram of the sample analysis system according to an embodiment of the present invention;

[0058] Figure 24 , Figure 25 The diagram shown is a schematic representation of the smear preparation apparatus according to an embodiment of the present invention.

[0059] Figure 26 , Figure 27 The diagram shown is a structural schematic of a cell image analyzer according to an embodiment of the present invention. Detailed Implementation

[0060] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0061] This invention provides a method for locating regions of interest (ROIs) using a cell image analyzer. The method involves acquiring at least one cell image from different shooting positions on a blood smear using an image acquisition device. By analyzing whether the at least one cell image meets preset conditions (e.g., comparing features in the image with a preset threshold), it is determined whether a ROI has been found, and the location of the ROI on the blood smear is determined for subsequent accurate imaging of the ROI. In other words, this invention enables dynamic determination of the location of the ROI for each blood smear, particularly the location of the blood membrane boundary, thereby allowing the image acquisition device to accurately image the area near the blood membrane boundary.

[0062] Figure 1 The diagram shows a flowchart of a method for locating the region of interest (ROI) on a blood smear according to an embodiment of the present invention. The method includes:

[0063] Step 101: The control device acquires the starting and ending shooting positions of the image capturing device for cell imaging of the blood smear, wherein the line connecting the starting and ending shooting positions passes through the region of interest;

[0064] Step 102: The control device causes the image capturing device to move relative to the blood smear, and causes the image capturing device to capture multiple cell images at different positions of the blood smear from the starting capturing point until the relative movement and capturing stop at the final capturing position;

[0065] Step 103: The control device determines the target location of the region of interest based on the image features and shooting positions of the multiple cell images.

[0066] In this embodiment of the invention, the blood smear has a blood film, which is formed, for example, by coating a blood sample onto a blank glass slide, and the blood film is a thin film formed by coating the blood onto the blood smear. Figure 2 As shown, blood smears are typically rectangular, and the blood film is spread from end A1 to end B1 on the smear. During the spreading process, the blood film moves along the spreading direction, as shown... Figure 2 The portion from A1 to B1 shown may include a head, body, and tail, each indicated by a dashed box. There may be a gap between the edge of the blood film and the edge of the blood smear, such as the gap C1 between the long edge of the blood film and the long edge of the blood smear.

[0067] In this embodiment of the invention, the region of interest may be the edge of the blood membrane, or the tail of the blood membrane, or both the edge and tail of the blood membrane.

[0068] In this embodiment of the invention, multiple cell images are first captured from the initial and final shooting positions. Then, the target location of the region of interest is determined by the features of the multiple cell images and the shooting positions. The target location can be the edge or the tail. This solves the problem in the prior art that the boundary of the blood membrane, such as the long edge or tail edge of the blood membrane, cannot be found. This makes it easier for users to locate the region of interest faster and more accurately, and to increase the scanning area of ​​the region of interest according to user needs.

[0069] In this embodiment of the invention, when capturing multiple cell images, the image capturing device can acquire images under different objective lenses, such as acquiring cell images under an objective lens of not less than 40X (40x), preferably acquiring cell images under an objective lens of 100X (100x).

[0070] In this embodiment of the invention, in step 103, the control device causes the image capturing device to capture multiple cell images at different locations on the blood smear, starting from the initial capturing point, including:

[0071] The control device enables the image capturing device to continuously capture multiple cell images of different locations on the blood smear at preset image intervals, starting from the initial capturing point.

[0072] In this embodiment of the invention, the preset image interval can be a time interval or a distance interval. When using a distance interval, a preferred option is equal spacing. When shooting at equal spacing, two consecutive frames of cell images can be captured consecutively. For example, the distance interval at this time can be the field of view width or field of view length of the imaging device; or, it can be shooting at intervals with a certain distance between them.

[0073] In this embodiment of the invention, in step 103, the control device determines the target location of the region of interest based on the image features and shooting positions of multiple cell images, including:

[0074] The control device sequentially analyzes the image features of at least two cell images that were captured sequentially, especially consecutively, from among the multiple cell images.

[0075] If the changes in the image features of at least two cell images taken successively, especially consecutively, satisfy a first preset condition, then the location of one of the cell images is the target location of the region of interest.

[0076] In this embodiment of the invention, in step 103, the image features include cell regions, and the changes in the image features of the at least two cell images taken sequentially satisfy a first preset condition. Then, the location where one of the at least two cell images was taken is the target location of the region of interest, including:

[0077] The control device identifies cell regions in the analyzed cell image based on the grayscale or color difference between cells and the background.

[0078] If the change in cell region area in at least two cell images taken sequentially satisfies a second preset condition, then the location of the cell image taken first or last among the at least two cell images is the target location of the region of interest.

[0079] In this embodiment of the invention, the target location of the region of interest is typically determined by the changes in image features, such as changes in the area of ​​the cell region, of at least two cell images taken sequentially, especially consecutively.

[0080] In this embodiment of the invention, the region of interest includes the long edge of the blood membrane;

[0081] If the changes in image features of at least two sequentially captured cell images satisfy a first preset condition, then the capture location of one of the at least two cell images is the target location of the region of interest, including:

[0082] If the image features of the first or last cell image among the at least two sequentially captured cell images represent the blank cell region corresponding to the first or last captured cell image (e.g., ... Figure 4 As shown), and at least one of the remaining cell images has image features that indicate the corresponding completely blank area (e.g., ...). Figure 3 (as shown) or whole cell region (e.g.) Figure 5 As shown in the figure, the location of the cell image captured first or last is the target location of the long edge.

[0083] The method described in this embodiment obtains the region of interest based on changes in image features. If the region changes from a partially blank cell area to a completely blank area or a full cell area, or from a completely blank area or a full cell area to a partially blank cell area, then the partially blank cell area is the target location of the long edge.

[0084] In this embodiment of the invention, the control device analyzes the image features of the cell image, including:

[0085] The control device identifies cell regions in the analyzed cell image based on the grayscale or color difference between cells and the background in the cell image.

[0086] If the area of ​​the cell region in the cell image is less than a first threshold, then the cell image corresponds to a completely blank area.

[0087] If the area of ​​the cell region in the cell image is greater than or equal to a first threshold, then the corresponding blank cell region in the cell image; and / or

[0088] If the area of ​​the cell region in the cell image is greater than the second threshold, then the cell image corresponds to the whole cell region.

[0089] If the area of ​​the cell region in the cell image is less than or equal to the second threshold, then the corresponding blank cell region in the cell image is...

[0090] In this embodiment of the invention, the first threshold can be set to 0.01 * total visual field area (the entire image). That is, if the area of ​​the cell region in the cell image is less than 1% of the total visual field area, the cell image is considered to correspond to a completely blank area; if the area of ​​the cell region is greater than or equal to 1% of the total visual field area, the cell image is considered to correspond to a partially blank cell region. The second threshold can be set to 0.70 * total visual field area. That is, if the area of ​​the cell region is greater than 70% of the total visual field area, the cell image is considered to correspond to the entire cell region; if the cell region is less than or equal to 0.70 * total visual field area, the cell image corresponds to a partially blank cell region. Understandably, in practical use, since the position of the blood membrane is within a controllable range, the starting shooting point and shooting direction can be roughly determined. Therefore, the aforementioned first threshold and second threshold can be used independently as conditions for judging partially blank cell regions, completely blank regions, or whole cell regions. For example, when shooting from the middle of the blood membrane outwards along the long edge, it is only necessary to determine the change from a whole cell region to a partially blank cell region; that is, only the second threshold can be used for judgment. Similarly, when shooting from the long edge towards the middle of the blood membrane, only the first threshold can be used for judgment. Of course, in other possible embodiments, the first threshold and second threshold can also be used together as conditions for judging the above-mentioned different regions. For example, when the area of ​​the cell region in the cell image is between 1% and 70% of the total field of view, it can be considered that the cell image corresponds to a partially blank cell region. For example, if there are multiple cell images taken sequentially, and the cell area in the first cell image is greater than 70% (i.e., it is in the whole cell area), and the cell area in the last cell image starts to be less than 1% (i.e., it enters the completely blank area), then the cell image taken before or after the last cell image is located at the edge of the long side.

[0091] It should be noted that, considering that the total field of view area or cell image area of ​​the imaging device is easy to determine, the first threshold and / or the second threshold can also be expressed as the first area ratio threshold. For example, the first threshold can be the area ratio of the cell region to the total field of view area of ​​1%.

[0092] In this embodiment of the invention, the area can also be the number of pixels, that is, the area and pixels can be converted. For example, in a cell image, one pixel represents 0.05 micrometers, so 100 micrometers is 2000 pixels. The percentage can also be a fixed number of pixels (that is, the area size), which can also be converted to each other. For example, if the number of pixels in the whole image is 5,000,000, then the threshold calculated according to the percentage 1% is 50,000 pixels.

[0093] like Figure 3 , Figure 4 , Figure 5 As shown, Figure 3 The cell image shown is an image of a completely blank area. Figure 4 The image shown is of a partially blank cell region. Figure 5 The image shown is of the entire cell region. In this embodiment of the invention, the cell region is first identified by the difference in grayscale or color between the cell and the background. Then, by setting a first threshold and / or a second threshold, the image features of the cell image can be analyzed, that is, it can be analyzed whether the cell image corresponds to a completely blank area, a partially blank cell area, or a whole cell area.

[0094] Similarly, the control device can determine the target location of the region of interest by analyzing the image features of a single cell image among multiple cell images. In one possible implementation of this invention, if the image features of any cell image represent a blank cell region corresponding to the cell image, then the location where that cell image was captured is the long edge of the region of interest, including the blood membrane. For example, by analyzing the image features of a cell image using the aforementioned method and determining the blank cell region corresponding to that cell image, it can be determined that the location of the captured cell image is the long edge.

[0095] In another possible implementation of this invention, the long edge can be determined by analyzing any one of the multiple cell images captured, such as analyzing the multiple cell images sequentially or in another order. Specifically, the control device analyzes the image features of any cell image among the multiple cell images to obtain the distribution information of the cell region of the any cell image; if the distribution information meets a preset distribution condition, the capture position of the any cell image is determined as the target position of the long edge. Since the cell region in the cell image captured at the target position of the long edge will show a distribution from the whole cell region to the partially blank cell region, or from the partially blank cell region to the completely blank region, or from the whole cell region to the partially blank cell region, or from the partially blank cell region to the completely blank region, the above situation can be used as the preset distribution condition to determine the target position of the long edge.

[0096] In one specific implementation, the control device can obtain at least two secondary cell images by segmenting any one of the multiple cell images, and analyze the image features of the two secondary cell images; if the image features of the two secondary cell images respectively represent a completely blank area in one of the two secondary cell images, and a partially blank cell area or a whole cell area in the other; or if the image features of the two secondary cell images respectively represent a whole cell area in one of the two secondary cell images, and a partially blank cell area or a completely blank area in the other; then the shooting position of the any one cell image is determined to be the target position of the long side edge.

[0097] For example, at least one dividing line can be preset in any cell image from multiple cell images to obtain at least two secondary cell images derived from that cell image. Preferably, the dividing line is a straight line parallel to the edge direction of the blood smear; the dividing line can be positioned in the middle of the cell image. The area of ​​the cell region in the at least two segmented secondary cell images is calculated respectively. If the area of ​​the cell region in the secondary cell image is less than a first threshold, for example, the first threshold is 1% of the total area of ​​the secondary cell image, then the secondary cell image can be considered to correspond to a completely blank area; if the area of ​​the cell region in the secondary cell image is greater than a predetermined threshold, for example, the predetermined threshold is 50% of the total area of ​​the secondary cell image (of course, the predetermined threshold can also be the same as the first threshold or the second threshold), then the secondary cell image can be considered to correspond to a partially blank cell region or a whole cell region. Therefore, if the image features of the two secondary cell images respectively represent a completely blank area in one of the two secondary cell images, a partially blank cell area in the other, or a whole cell area, then the shooting position of any cell image is determined as the target position of the long edge.

[0098] Similarly, the first threshold and / or the second threshold mentioned above can be used to determine whether the secondary cell image corresponds to a completely blank area, a partially blank cell area, or a whole cell area. Therefore, if the image features of the two secondary cell images respectively indicate that one of the two secondary cell images corresponds to a whole cell area, and the other corresponds to a partially blank cell area or a completely blank area, then the shooting position of either cell image is determined to be the target position at the long edge. As in the aforementioned embodiment, the first threshold and the second threshold can be fixed values, or they can be determined using a preset proportion of the total area of ​​the secondary cell image occupied by the cell area.

[0099] It should be noted that when determining the target location of the region of interest using image features of a single cell image from multiple cell images captured by the imaging device, to avoid missed detections, the distance between two consecutive cell images should be less than the field of view width or field of view length of the imaging device. Specifically, this distance interval can be matched with the position of the dividing line, a first threshold, a second threshold, or a predetermined threshold. For example, when the dividing line is set in the middle, the distance between two consecutive images can preferably be set to 50% of the field of view width of the cell image.

[0100] In this embodiment of the invention, the initial imaging position and the final imaging position are respectively located on both sides of one long edge of the blood film, or the initial imaging position and the final imaging position are respectively located outside the long edges of both sides of the blood film. The blood film on the blood smear includes a head, a body, and a tail along the smearing direction, and the aforementioned long edge is the long edge of the head or the body.

[0101] refer to Figure 2 As shown, the starting and ending shooting positions can be located on both sides of one long edge of the blood membrane, as shown in D1 and E1, or on both sides of the other long edge of the blood membrane, as shown in H1 and F1, or outside the two long edges of the blood membrane, as shown in D1 and F1.

[0102] refer to Figure 2 As shown, preferably, the starting and ending shooting positions can be located outside the long edges of the two sides of the blood membrane body, as shown in G1 and F1, or outside the long edges of the two sides of the blood membrane head, as shown in D1 and I1.

[0103] Figure 2 The positions shown are for illustrative purposes only. D1, F1, G1, and I1 can be any position between the long edge of the blood film and the long edge of the blood smear, as shown in C1. E1 and H1 can be any position within the blood film. The starting and ending shooting positions can also be interchanged.

[0104] In one example, the region of interest is the long edge of the blood membrane, for example... Figure 2 The upper edge of the blood film is shown. The starting and ending imaging positions are E1 and D1, respectively. The control device causes the image capturing device to continuously capture multiple cell images of different locations on the blood smear at preset image intervals, starting from point E1, until point D1. Then, the control device analyzes the image features of at least two consecutively captured cell images. If the first cell image captured in the at least two consecutively captured cell images is a partially blank cell region (e.g.,...) Figure 4 As shown), and at least one of the remaining cell images is a completely blank area (as shown). Figure 3(as shown), then the location of the first cell image captured is the target location at the edge of the long side; or, if the last cell image captured in the at least two consecutive cell images is a partially blank cell region (e.g., ... Figure 4 (as shown), and at least one of the remaining cell images is a whole-cell region (e.g. Figure 5 As shown), the location where the last captured cell image was taken is the target location at the edge of the long side. Alternatively, as... Figure 14 As shown, the edge can be found from the blank areas on both sides towards the middle. Multiple images are taken along the direction perpendicular to the long edge of the blood smear (as shown by the arrow in the figure). First, the image passes through a completely blank area, then the edge area with both blank and cellular areas, and finally enters the cellular area completely. Based on the starting shooting position, the image position of the edge area (which image), and the interval distance between adjacent images, the actual distance from the shooting starting point to the edge position is determined, and thus the actual position of the long edge is determined. Figure 14 The location of image 1401 is the actual position of the long side edge.

[0105] In another example, you can also look for the edges from the middle outwards to the blank areas on both sides, such as... Figure 15 As shown, along the direction perpendicular to the long edge of the blood smear (e.g. Figure 15 (As indicated by the middle arrow) Take a series of 1500 images, first the completely cellular region, then the edge region with both blank and cellular areas, and then completely enter the blank region; based on the starting shooting position, the image position of the edge region (which image), and the interval distance between adjacent images, determine the actual distance from the shooting starting point to the edge position, and then determine the actual position of the long edge. Figure 15 In the image, image 1501 represents the actual location of the long edge. In yet another example, the region of interest is the two long edges of the blood membrane, for example... Figure 2 The upper and lower edges of the blood film are shown. The starting and ending imaging positions are F1 and G1, respectively. The control device causes the image capturing device to continuously capture multiple cell images of different locations on the blood smear at preset image intervals, starting from point F1, until point G1. Then, the control device analyzes the image features of at least two consecutively captured cell images. If the at least two consecutively captured cell images are from a partially blank cell region (e.g.,...) Figure 4 (as shown) becomes a completely blank area (e.g.) Figure 3 As shown), or from the whole cell region (such as...) Figure 5 As shown) becomes a partially blank cell region (such as Figure 4As shown in the image, the image of a cell with partially blank cell regions is captured at the target location at the long edge of the blood membrane. In other words, it can be captured directly from one blank area to the other, as shown in the image. Figure 16 Along the direction perpendicular to the long edge of the blood smear (e.g. Figure 16 (As indicated by the middle arrow) A series of images (160°) are captured to locate the edges on both sides. Based on the image position of the edge region (which image) and the interval between adjacent images, the actual distance from the shooting starting point to the edge position is determined, thus determining the actual location of the edge. Figure 16 In the image, image 1601 represents the actual location of the long edge.

[0106] like Figure 17 As shown in this embodiment of the invention, after determining the target location of the region of interest, the method further includes:

[0107] Step 1710: The control device determines the first target shooting position based on the target position of the long side edge;

[0108] Step 1720: The control device causes the image capturing device to move relative to the blood smear, so as to position the image capturing device at the first target capturing position;

[0109] Step 1730: The control device causes the image capturing device and the blood smear to continue to move relative to each other from the first target capturing position along the edge capturing path toward the tail, so that the image capturing device captures multiple images of the first target cells along the long edge of the blood membrane.

[0110] In this embodiment of the invention, the imaging path towards the tail can be parallel to the edge of the blood smear or parallel to the smear direction. During imaging, it can be performed as described in the above embodiments, taking pictures at time intervals or according to distance intervals.

[0111] In this embodiment of the invention, it is also possible to determine whether the blood smear is abnormal based on the target image. The method further includes outputting multiple first target cell images of the long edge of the blood membrane by the control device, for example, outputting them to a display device, so that the user can determine whether there are abnormal white blood cells, abnormal platelet aggregation, etc. in the blood smear based on the first target cell images.

[0112] Alternatively or additionally, the control device can automatically determine whether there are abnormalities in the blood smear based on the target image; that is, the method further includes:

[0113] The control device determines whether there is abnormal white blood cell and / or platelet aggregation in the blood smear based on multiple first target cell images of the long edge of the blood membrane.

[0114] like Figure 18 As shown in this embodiment of the invention, after the image capturing device captures multiple images of the first target cells, the method further includes:

[0115] Step 1810: The control device determines the second target shooting position of the long side edge based on the target position of the long side edge, wherein the second target shooting position is different from the first target shooting position;

[0116] Step 1820: The control device causes the image capturing device to move relative to the blood smear, so as to position the image capturing device at the second target capturing position;

[0117] Step 1830: The control device causes the image capturing device and the blood smear to continue to move relative to each other from the second target capturing position, parallel to the edge capturing path, so that the image capturing device captures multiple images of the second target cells along the long edge of the blood membrane.

[0118] In this embodiment of the invention, the second target shooting position is farther away from the long edge of the blood smear than the first target shooting position in the direction perpendicular to the long edge of the blood smear (or in other words, perpendicular to the smearing direction). The line connecting the first target shooting position and the second target shooting position can be perpendicular to the smearing direction (the direction of the long edge of the blood smear), or it can be not perpendicular.

[0119] In this embodiment of the invention, after the image capturing device captures multiple images of the second target cells along the long edge of the blood membrane, the method further includes:

[0120] Determine whether the captured area of ​​the plurality of first target images and the plurality of second target cell images is greater than or equal to a preset area;

[0121] If the area is greater than or equal to the preset area, stop shooting;

[0122] If the area is smaller than a preset area, the control device, based on the third target shooting position of the long edge, causes the image shooting device and the blood smear to continue to move relative to each other from the third target shooting position, parallel to the edge shooting path, so that the image shooting device captures multiple third target cell images of the long edge of the blood membrane, wherein the third target shooting position is different from the second target shooting position.

[0123] Figure 6The above is a schematic diagram of the edge shooting path according to an embodiment of the present invention. The first target shooting position can be point A2, and the edge shooting path can be the path from A2 to B2. The second target shooting position can be point C2, and the corresponding edge shooting path can be from C2 to D2. Alternatively, the second target shooting position can be point D2, and the corresponding edge shooting path can be from D2 to C2.

[0124] In this embodiment of the invention, the above-described edge shooting path can be repeated multiple times, for example... Figure 6 The system uses techniques such as E2-F2 until the area of ​​the captured cell image reaches a preset area or the predetermined total number of shooting paths before taking another shot. This is to obtain more information about edge cells for more accurate identification of abnormalities, such as platelet aggregation. Furthermore, it takes into account irregularities in the blood film caused by irregular smearing or other reasons, allowing users to locate the region of interest more quickly and accurately, and facilitating the expansion of the scanned area of ​​the region of interest according to user needs.

[0125] In this embodiment of the invention, the blood smear can also be judged to be abnormal based on the target image. The method further includes the output of multiple first target cell images and multiple second target cell images and an optional third target cell image of the long edge of the blood membrane by the control device, for example, to a display device, so that the user can judge whether there are abnormal white blood cells, abnormal platelet aggregation, etc. in the blood smear based on the first target cell image, the second target cell image and the optional third target cell image.

[0126] Alternatively or additionally, the control device may automatically determine whether there are abnormalities in the blood smear based on the target image. That is, the method further includes: the control device determining whether there are abnormal white blood cells and / or platelet aggregations in the blood smear based on multiple first target cell images and multiple second target images and optional multiple third target images of the long edge of the blood membrane.

[0127] In this embodiment of the invention, the region of interest also includes the tail of the blood membrane. The method allows for the identification of the tail of the blood membrane while simultaneously photographing its long edge; more precisely, it allows for the location of the tail edge. The method further includes:

[0128] The control device sequentially analyzes the image features of at least two first target cell images captured sequentially from the plurality of first target cell images;

[0129] If the changes in the image features of the at least two first target cell images taken successively indicate the presence of red blood cell clusters and / or small cell regions, or tail features or tail edge features, then the location of the last first target cell image taken among the at least two first target cell images is the target location of the tail.

[0130] like Figure 6 As shown, it is possible to capture the tail section during the image capture process at the long edge, such as the latter half of C2-D2 or the latter half of F2-E2.

[0131] In this embodiment of the invention, the changes in image features of the at least two sequentially captured images of the first target cell indicate the presence of red blood cell clusters and / or small tail features in the cell region, including:

[0132] The numerical value of erythrocyte clusters in the last of the at least two first target cell images taken sequentially is greater than a third threshold and / or the cell region area is less than a fourth threshold, and the numerical value of erythrocyte clusters in the remaining at least one first target cell image is less than or equal to the third threshold and / or the cell region area is greater than or equal to the fourth threshold.

[0133] In other words, if the changes in the image features of at least two consecutive images of the first target cell indicate that the cells, such as red blood cells, are clustered together and the total area of ​​the cell region is reduced to below a set threshold, then it can be considered that the tail portion or tail edge of interest has been reached.

[0134] Numerical characteristics of erythrocyte clusters can be the proportion of erythrocyte clusters, the number of erythrocyte clusters, or the size of their area.

[0135] In this embodiment of the invention, the third threshold can be 0.5 * cell region area, and the fourth threshold can be 0.25 * total field of view area (area of ​​the entire image). That is, in a cell image, if the area of ​​the cell region is less than 25% of the total field of view area, and / or the ratio of the area of ​​clustered cells to the area of ​​the cell region exceeds the threshold of 50%, it is considered to have reached the tail edge. Here, the method for determining clustering is that the size of the connected region of the cell block exceeds a certain threshold, such as 200 square micrometers.

[0136] The third and fourth thresholds can also be converted into the third and fourth area ratio thresholds. For example, the third threshold could be a threshold of 50% for the ratio of the area of ​​clustered cells to the area of ​​the cell region, and the fourth threshold could be a threshold of 25% for the ratio of the area of ​​the cell region to the total area of ​​the visual field.

[0137] In this embodiment of the invention, area and pixels can be converted, which will not be elaborated here.

[0138] Figure 7 , Figure 8 This is a schematic diagram of the blood membrane tail in an embodiment of the present invention. Figure 7 This is a diagram showing the area closer to the body of the blood membrane. Figure 8 A diagram illustrating the edge of the tail near the blank area. (See diagram below.) Figure 7 , Figure 8 As shown, in the tail region, cells, especially red blood cells, clump together, and the cellular area is small, such as... Figure 7 , Figure 8 The dashed box in the image indicates clusters of cells.

[0139] In this embodiment of the invention, the method further includes:

[0140] The control device determines the tail shooting path based on the target position of the tail.

[0141] The control device causes the image capturing device and the blood smear to move relative to each other along the tail imaging path, so that the image capturing device captures multiple images of the fourth target cells along the tail imaging path.

[0142] The tail shooting path is similar to the edge shooting path described above, such as... Figure 9 As shown, the path can be E3-F3 parallel to the long edge of the blood smear, or it can be G3-H3 perpendicular to the long edge of the blood smear. Preferably, the tail imaging path is perpendicular to the long edge of the blood smear, which will not be elaborated further here.

[0143] Similarly, in this embodiment of the invention, the abnormality of the blood smear can be determined based on the target image at the tail. The control device can output multiple first target cell images, multiple second target cell images, and multiple fourth target cell images at the tail of the blood film, for example, to a display device, so that the user can determine whether there are abnormal white blood cells, abnormal platelet aggregation, etc. in the blood smear based on the first target cell images, the second target cell images, and the fourth target cell images.

[0144] Alternatively or additionally, the control device can automatically determine whether there are abnormalities in the blood smear based on the target image; that is, the method further includes:

[0145] The control device determines whether there is abnormal white blood cell and / or platelet aggregation in the blood smear based on multiple first target cell images along the long edge, multiple second target cell images, and multiple fourth target cell images at the tail.

[0146] In the above embodiments of the present invention, the tail position, or more precisely the tail edge position, is found when shooting the edge area. In the embodiments of the present invention, the tail or tail edge position can also be found directly.

[0147] That is, in this embodiment of the invention, the region of interest includes the tail of the blood membrane;

[0148] The control device determines the target location of the region of interest based on the image features and shooting positions of multiple cell images, including:

[0149] If the changes in the image features of the at least two cell images taken successively indicate the presence of red blood cell clusters and / or small tail features of cell regions, then the location of the cell image taken first or last among the at least two cell images is the first target location of the tail.

[0150] In this embodiment of the invention, the initial imaging position and the final imaging position are respectively located outside the two side edges of the tail portion of the blood membrane, such as... Figure 9 A3, B3, or B3, A3; or

[0151] The initial imaging position is located at the tail end of the blood film, while the final imaging position is located after the tail end along the application direction, such as... Figure 9 C3, D3; or

[0152] The initial imaging position is located after the tail end along the smear direction, while the final imaging position is in the tail end of the blood film, such as... Figure 9 D3 and C3 in the middle.

[0153] The specific methods for determining how changes in image features from at least two consecutively captured cell images indicate erythrocyte clustering and / or small tail features in the cell region will not be elaborated upon here.

[0154] Furthermore, the location of the tail edge can also be determined by observing changes in the area of ​​cell regions in at least two consecutively captured cell images. For example, when the image capturing device continuously captures multiple cell images from the center of the tail along the smearing direction outwards, if the changes in these cell images indicate that the total area of ​​the cell region begins to fall below a set threshold, it is considered that the tail portion or tail edge of interest has been reached. For instance, when the area of ​​a cell region in a cell image begins to fall below 5% of the area of ​​the entire image, it can be considered that there are very few cells in that cell image, placing it within the tail edge region.

[0155] In one example, such as Figure 19 As shown, multiple cell images can be taken from the body to the tail along a direction parallel to the long edge of the blood smear (as indicated by the arrows) until a tail region with low cell count, numerous blank areas, and / or clustered red blood cells is found. Based on the image position of the tail region (which image) and the interval between adjacent images, the actual distance from the starting point to the tail position is determined, thus determining the actual location of the tail edge. Furthermore, since the tail edge is usually curved, multiple rows of shooting paths along the arrow direction can be selected to capture cell images, determining multiple positions of the tail edge so that the tail region can be captured more completely later. The start and end points of each shooting path can be preset and stored in the memory of the control device. Figure 19Image 1901 in the image represents the actual location of the tail.

[0156] In another example, such as Figure 20 As shown, multiple cell images can be acquired by taking pictures from one side to the other along a path perpendicular to the long edge of the blood smear (as indicated by the arrow), and the image positions of the upper and lower tail edges can be found from these images. Based on the image position of the tail region (which image) and the interval between adjacent images, the actual distance from the starting point of the image to the tail position is determined, and thus the actual position of the tail edge is determined. Furthermore, since the tail edge is usually curved, multiple rows of images can be taken along the arrow direction to determine multiple positions of the tail edge, allowing for more complete imaging of the tail region later. The start and end points of each row of images can be preset and stored in the memory of the control device; or the start and end points of the first row of images can be preset and stored in the memory of the control device, while the start and end points of subsequent images can be determined based on the previously detected tail edge position. Figure 20 In the images, 2001 and 2002 are both tail regions.

[0157] In this embodiment of the invention, after determining the target position of the tail, the method further includes:

[0158] The control device determines the first tail shooting path based on the first target position of the tail.

[0159] The control device causes the image capturing device and the blood smear to move relative to each other along the first tail imaging path, so that the image capturing device captures multiple images of the fourth target cells along the first tail imaging path.

[0160] In this embodiment of the invention, while shooting along the first tail path, another tail edge position can be found. After finding the tail edge position, the shooting path is adjusted, and the tail shooting continues. The specific method is as follows:

[0161] The control device causes the image capturing device and the blood smear to move relative to each other along the first tail imaging path, so that the image capturing device captures multiple images of the fourth target cells at the tail along the first tail imaging path;

[0162] The control device sequentially analyzes the image features of at least two fourth target cell images taken successively from the plurality of fourth target cell images.

[0163] If the changes in the image features of the at least two fourth target cell images taken successively indicate the presence of red blood cell clusters and / or tail features with small cell regions, then the position of the first or last fourth target cell image taken among the at least two fourth target cell images is the second target position of the tail.

[0164] The control device determines a second tail shooting path that is parallel to or perpendicular to the first tail shooting path based on the second target position of the tail.

[0165] The control device causes the image capturing device and the blood smear to move relative to each other along the second tail imaging path, so that the image capturing device captures multiple images of the fifth target cells along the second tail imaging path.

[0166] like Figure 10 As shown, the first tail-viewing path can be A4-B4, where A4 is outside the edge of the blood membrane tail and B4 is inside the blood membrane tail. B4 corresponds to the tail in the image features of the captured cell image. The second target position is B4. Starting from B4, the second viewing path can be B4-C4, where C4 is outside the tail. During the viewing process along B4-C4, the edge of the blood membrane tail can be obtained. After obtaining the tail edge, the path can be moved to D4, and then the path D4-E4 can be continued to find the tail edge and capture tail images.

[0167] Figure 10 In the embodiment shown, the first tail imaging path can also be a path parallel to the long edge of the blood smear.

[0168] In this embodiment of the invention, the method further includes:

[0169] The control device determines whether there are abnormal white blood cells and / or platelet aggregations in the blood smear based on multiple fourth target cell images and / or multiple fifth target cell images at the tail.

[0170] In this embodiment of the invention, the line connecting the initial shooting position and the final shooting position is perpendicular to the edge of the blood smear.

[0171] In this embodiment of the invention, the method further includes:

[0172] When the control device determines that there is abnormal platelet aggregation in the blood smear, it estimates the number of platelets in the blood smear based on at least one cell image of the long edge of the blood membrane and / or at least one cell image of the tail of the blood membrane.

[0173] In this embodiment of the invention, the target cell counting method includes:

[0174] A cell image analysis device acquires cell images of a blood sample, the blood sample being derived from a blood sample to be tested;

[0175] The cell image analysis device automatically identifies the number of target cells and the number of reference cells in the cell image;

[0176] The cell image analysis device acquires the number of reference cells in the blood sample to be tested, and calculates the number of target cells in the blood sample to be tested based on the number of target cells and reference cells in the cell image and the number of reference cells in the blood sample to be tested.

[0177] The target cells mentioned above can be platelets, red blood cells, white blood cells, etc. For more specific methods for counting target cells, please refer to application number PCT / CN2019 / 123029.

[0178] In the above embodiments of the present invention, multiple cell images are first taken and then analyzed. In fact, embodiments of the present invention can take images and analyze them simultaneously, as described below.

[0179] like Figure 21 As shown in the embodiment of the present invention, the method includes:

[0180] Step 2110: The control device acquires the starting position and preset movement direction of the image capturing device for cell imaging of the blood smear;

[0181] Step 2120: The control device causes the image capturing device to move relative to the blood smear, so that the image capturing device can capture cell images of the blood smear from the starting point along the preset moving direction and analyze the cell images.

[0182] Step 2130: When the control device determines that the change in the image features of the current cell image relative to the image features of cell images taken before or after the current cell image satisfies a third preset condition, the shooting position of the current cell image is determined as the target position of the region of interest.

[0183] In this embodiment of the invention, when the control device determines that the change in image features of the current cell image relative to the image features of cell images captured before or after the current cell image meets a third preset condition, the capture position of the current cell image is determined as the target position of the region of interest, including:

[0184] The control device identifies cell regions in the analyzed cell image based on the grayscale or color difference between cells and the background.

[0185] If the change in area of ​​the cell region in the current cell image relative to the cell region in cell images taken before or after the current cell image satisfies a third preset condition, then the capture position of the current cell image is determined as the target position of the region of interest.

[0186] In this embodiment of the invention, the region of interest is the long edge of the blood membrane;

[0187] When the control device determines that the change in image features of the current cell image relative to the image features of cell images captured before or after the current cell image meets a third preset condition, it determines the capture position of the current cell image as the target position of the region of interest, including:

[0188] If the image features of the current cell image represent a partially blank cell region corresponding to the current cell image, and the image features of cell images taken before or after the current cell image represent a completely blank or full cell region corresponding to the cell images taken before or after the current cell image, then the shooting position of the current cell image is determined as the target position of the long edge of the blood membrane.

[0189] In this embodiment of the invention, the method further includes:

[0190] The control device determines the first target shooting position based on the target position of the long side edge;

[0191] The control device causes the image capturing device to move relative to the blood smear so as to position the image capturing device at the first target capturing position;

[0192] The control device causes the image capturing device and the blood smear to continue to move relative to each other from the first target capturing position along a preset edge capturing path, so that the image capturing device captures multiple first target cell images of the long edge of the blood membrane on the edge capturing path.

[0193] In this embodiment of the invention, after capturing multiple images of the first target cell, the method includes:

[0194] The control device determines the second target shooting position based on the target position of the long side edge, wherein the second target shooting position is different from the first target shooting position;

[0195] The control device causes the image capturing device to move relative to the blood smear, so as to position the image capturing device at the second target capturing position;

[0196] The control device causes the image capturing device and the blood smear to continue moving relative to each other from the second target capturing position, parallel to the edge capturing path, so that the image capturing device captures multiple images of the second target cells along the long edge of the blood membrane.

[0197] In this embodiment of the invention, the region of interest is the tail portion of the blood membrane;

[0198] When the control device determines that the change in image features of the current cell image relative to the image features of cell images captured before or after the current cell image meets a third preset condition, it determines the capture position of the current cell image as the target position of the region of interest, including:

[0199] If the change in the image features of the current cell image relative to the image features of cell images taken before or after the current cell image indicates the presence of red blood cell clusters and / or small tail features of cell regions, then the location where the current cell image was taken is determined as the target location of the tail.

[0200] In this embodiment of the invention, the method further includes:

[0201] The control device determines the first tail shooting path based on the target position of the tail.

[0202] The control device causes the image capturing device and the blood smear to move relative to each other along the first tail imaging path, so that the image capturing device captures multiple images of the fourth target cells along the first tail imaging path.

[0203] In this embodiment of the invention, the method further includes:

[0204] The control device determines the second tail shooting path based on the target position of the tail.

[0205] The control device causes the image capturing device and the blood smear to move relative to each other along the second tail imaging path, so that the image capturing device captures multiple images of the fifth target cells along the second tail imaging path.

[0206] In this embodiment, the starting and ending positions of the imaging path, the cell image analysis process, and the analysis of cell abnormalities after imaging the region of interest can refer to the solutions in other embodiments of the present invention, and will not be repeated here.

[0207] In the above embodiments of the present invention, real-time shooting and analysis can be performed, and the shooting path can be adjusted in real time according to the analysis results, which can quickly locate the region of interest and improve the positioning efficiency.

[0208] like Figure 22 As shown, this embodiment of the invention also provides a method for locating a region of interest, the method comprising:

[0209] Step 2210: The control device receives a mode selection command;

[0210] Step 2220: When the mode selection instruction received by the control device is dynamic mode, the target position of the region of interest is determined according to the method of the above embodiment.

[0211] Step 2230: When the mode selection instruction received by the control device is fixed mode, the target position of the fixed preset region of interest is obtained;

[0212] Step 2240: The control device controls the relative movement of the image capturing device and the blood smear according to the target position of the region of interest, so as to locate the target position of the region of interest.

[0213] This invention also provides a method for locating a region of interest, which can be selected from two modes: shooting first and then analyzing, and shooting and analyzing simultaneously, based on system default settings or settings.

[0214] This invention also provides a cell image analyzer, such as... Figure 11 As shown, it includes:

[0215] The image capturing device 1110 has a camera and a lens assembly and is used to capture images of cells in a blood sample coated on a blood smear.

[0216] The smear moving device 1120 is used to move the image capturing device and the blood smear relative to each other.

[0217] Control device 1130, communicatively connected to the image capturing device and the smear moving device, and configured to:

[0218] The starting and ending imaging positions of the image capturing device for cell imaging of the blood smear are obtained, wherein the line connecting the starting and ending imaging positions passes through the region of interest of the blood smear.

[0219] Control the smear moving device so that the image capturing device moves relative to the blood smear;

[0220] The image capturing device is controlled to capture multiple cell images at different locations on the blood smear starting from the initial capturing point, until the final capturing position is reached and the operation of the smear moving device and the image capturing device is stopped.

[0221] Based on the image features and shooting locations of the multiple cell images, the target location of the region of interest is determined.

[0222] This invention also provides a cell image analyzer, as described in the embodiments of the present invention. Figure 11 As shown, it includes:

[0223] The image capturing device 1110 has a camera and a lens assembly for capturing images of cells in a blood sample coated on a blood smear.

[0224] The smear moving device 1120 is used to move the image capturing device and the blood smear relative to each other.

[0225] Control device 1130, communicatively connected to the image capturing device and the smear moving device, and configured to:

[0226] The starting position and preset movement direction of the image capturing device for cell imaging of the blood smear are obtained;

[0227] Control the smear moving device so that the image capturing device moves relative to the blood smear;

[0228] The image capturing device is controlled to capture cell images of the blood smear starting from the initial capturing point and the cell images are analyzed.

[0229] When the change in the image features of the current cell image relative to the image features of cell images taken before or after the current cell image meets a preset condition, the shooting position of the current cell image is determined as the target position of the region of interest.

[0230] The cell image analyzer described above is configured to implement the above method.

[0231] This invention also provides a cell image analyzer, such as... Figure 12 As shown, it includes:

[0232] The image capturing device 1210 has a camera and a lens assembly for capturing images of cells in a blood sample coated on a blood smear.

[0233] The smear moving device 1220 is used to move the image capturing device and the blood smear relative to each other.

[0234] The mode selection device 1230 is used to select a dynamic mode or a fixed mode. In the dynamic mode, the target position of the region of interest can be dynamically determined according to different blood smears, while in the fixed mode, the target position of the region of interest can be fixedly preset.

[0235] Control device 1240, communicatively connected to the image capturing device, the smear moving device, and the mode selection device, and configured to:

[0236] Obtain the mode selection result from the mode selection device.

[0237] When the dynamic mode is selected, the above method is implemented.

[0238] When the fixed mode is selected, the target location of the fixed preset region of interest is obtained.

[0239] Based on the target location of the region of interest, the smear moving device is controlled to move relative to the blood smear so as to locate the target location of the region of interest.

[0240] This invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above method.

[0241] This invention also provides a computer-readable storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, performs the steps of the above-described method.

[0242] This invention also provides a sample analysis system. For example... Figure 23 As shown, the sample analysis system 100 includes a blood analyzer 110, a smear preparation device 120, a cell image analysis device 130, and a control device 140.

[0243] The blood analyzer 110 is used to perform routine blood tests on the sample to be tested, the smear preparation device 120 is used to prepare a smear of the sample to be tested, the cell image analysis device 130 is used to capture and analyze images of the cells in the smear, and the control device 140 is communicatively connected to the blood analyzer 110, the smear preparation device 120 and the cell image analysis device 130.

[0244] The sample analysis system 100 also includes a first transport track 150 and a second transport track 160. The first transport track 150 is used to transport a test tube rack 10, which can hold multiple test tubes 11 loaded with samples to be tested, from the blood analyzer 110 to the smear preparation device 120. The second transport track 150 is used to transport a slide basket 20, which can hold multiple prepared smears 21, from the smear preparation device 120 to the cell image analysis device 130.

[0245] The control device 140 is electrically connected to the first transmission rail 150 and the second transmission rail 160 and controls their operation.

[0246] The sample analysis system 100 also includes feeding mechanisms 170 and 180 respectively corresponding to the blood analyzer 110 and the smear preparation device 120. Each feeding mechanism 170 and 180 includes loading buffers 171 and 181, feeding detection areas 172 and 183, and unloading buffers 173 and 183.

[0247] When the sample to be tested on the test tube rack 10 needs to be transported to the blood analyzer 110 for testing, the test tube rack 10 is first transported from the first transfer track 150 to the loading buffer area 171, and then from the loading buffer area 171 to the feed detection area 172 for testing by the blood analyzer 110. After the test is completed, it is unloaded from the feed detection area 172 to the unloading buffer area 173, and finally from the unloading buffer area 173 back into the first transfer track 150.

[0248] Similarly, when the sample to be tested on the test tube rack 10 needs to be examined under a microscope, the test tube rack 10 needs to be transported to the smear preparation device 120 to prepare a smear. The test tube rack 10 is first transported from the first transfer track 150 to the loading buffer area 181, and then from the loading buffer area 181 to the feed detection area 182 where the smear preparation device 120 prepares the smear. After the smear preparation is completed, it is unloaded from the feed detection area 182 to the unloading buffer area 183, and finally from the unloading buffer area 183 back into the first transfer track 150. The smear preparation device 120 stores the prepared smear in the slide basket 20, and transports the slide basket 20 containing the smear to be tested to the cell image analysis device 130 via the second transfer track 160. The cell image analysis device 130 captures images of the cells in the sample on the smear to be tested and analyzes them.

[0249] The sample analysis system 100 also includes a display device (not shown) for displaying sample test results, which may be installed on the blood analyzer 110, smear preparation device 120, cell image analysis device 130 or control device 140, or separately.

[0250] Figure 24 and Figure 25 A schematic diagram of a smear preparation apparatus 120 is shown. The smear preparation apparatus 120 can be used to prepare smears of samples such as blood and body fluids. The smear preparation apparatus includes a sampling mechanism 121 for extracting samples, a slide loading mechanism 122 for moving slides to the working line, a sample loading mechanism 123 for loading samples onto slides, a slide pushing mechanism 124 for smoothing samples on slides, a drying mechanism (not shown) for drying blood films on slides, and a staining mechanism 125 for staining slides.

[0251] When the sampling mechanism 121 extracts samples, it first mixes the samples, and then uses a sampling device (e.g., sampling needle 1211) in the sampling mechanism 121 to aspirate the samples. Depending on the sample container, the aspiration can be either puncture aspiration (the sample container has a lid, and the sampling device passes through the lid) or open aspiration (the sample container is open, and the sampling device aspirates directly from the open end). If necessary, blood sample information detection can be performed to obtain and compare information. In some embodiments, a micro-injection mechanism 126 is also included, which can move the test tube placed by the operator directly toward the sampling device, or the sampling device can also move toward the test tube placed by the operator. In other implementations, the micro-injection mechanism 126 can move the test tube directly toward the sample loading mechanism 123, or the sample loading mechanism 123 can move toward the test tube placed by the operator, directly drawing blood samples via the sample loading mechanism 123 (e.g., a blood-dropping needle) for sample loading. Since blood does not need to be drawn through the sampling mechanism 121, the requirement for blood samples can be reduced, thereby achieving micro-injection and priority sampling. After sampling is completed, the blood is prepared to be dripped onto the glass slide via the sample loading mechanism 123.

[0252] Accordingly, the slide loading mechanism 122 extracts the slide and loads it into the appropriate position for the blood-dropping operation. In some embodiments, after the slide extraction is completed, operations such as left-right detection and slide cleaning can be performed before the slide is loaded. The loaded slide can be printed with relevant information, and operations such as front-back detection can be performed.

[0253] After the blood dropper of the sample application mechanism 123 drips the sample onto the glass slide, a slide-pushing operation is performed. The slide-pushing mechanism 124 pushes the blood onto the glass slide into a blood film shape. Typically, after the slide-pushing operation is completed, the blood film on the glass slide can be dried to stabilize its shape. In some embodiments, the glass slide can be flipped before drying the blood film to meet specific requirements. In some embodiments, the dried blood smear can also undergo a drying test to determine the drying effect of the blood film. In some embodiments, the dried blood smear can also undergo a blood film unfolding test to determine whether the blood film has unfolded and whether the unfolding state meets the requirements. After the slide-pushing is completed, the glass slide (blood smear) can be stained (through the staining mechanism 125) or directly output (e.g., placed in the slide basket 20 for output).

[0254] like Figure 26 and Figure 27As shown, the cell image analysis device 130 (also known as the cell image analyzer 130) includes at least an imaging device 131, a smear moving device 132, and an image analysis device 133. The imaging device 131 includes a camera 1312 and a lens group 1311 and is used to photograph the cells in the sample smeared on the smear. The smear moving device 132 is used to move the smear relative to the imaging device 131 so that the imaging device 131 can capture cell images of a specific area of ​​the smear. The image analysis device 133 is used to analyze the cell images of the smear.

[0255] like Figure 27 As shown, lens group 1311 may include a first objective lens and a second objective lens. The first objective lens may be, for example, a 10x objective lens, and the second objective lens may be, for example, a 100x objective lens. Lens group 1311 may also include a third objective lens, for example, a 40x objective lens. Lens group 1311 may also include an eyepiece.

[0256] The cell image analysis device 130 also includes an identification device 134, a slide gripping device 135, and a smear recycling device 136. The identification device 134 is used to identify the identity information of the smear, the slide gripping device 135 is used to grip the smear from the identification device 134 onto the smear moving device 132 for detection, and the smear recycling device 136 is used to place the detected smear.

[0257] The cell image analysis device 130 also includes a slide basket loading device 137 for loading a slide basket containing a smear to be tested. A slide clamping device 135 is used to clamp the slide to be tested from the slide basket loaded on the slide basket loading device 137 and place it into the identification device 134 for identification information. The slide basket loading device 137 is connected to the first transport track 160 so that the smear prepared by the smear preparation device 120 can be transported to the cell image analysis device 130.

[0258] In one embodiment, such as Figure 13 The diagram shown is a schematic representation of a control device according to an embodiment of the present invention. The control device 30 includes at least: a processing component 31, RAM 112, ROM 113, a communication interface 34, a memory 36, and an I / O interface 35, wherein the processing component 31, RAM 32, ROM 33, communication interface 34, memory 36, and I / O interface 35 communicate via a bus 37.

[0259] The processing component can be a CPU, GPU, or other chips with computing power.

[0260] The memory 36 contains various computer programs, such as the operating system and application programs, which are executed by the processor component 31, as well as the data required to execute these computer programs. Additionally, during the location of the region of interest, any data that needs to be stored locally can be stored in the memory 36.

[0261] The I / O interface 35 consists of serial interfaces such as USB, IEEE1394, or RS-232C; parallel interfaces such as SCSI, IDE, or IEEE1284; and analog signal interfaces composed of D / A converters and A / D converters. Input devices such as keyboards, mice, touchscreens, or other control buttons can be connected to the I / O interface 35, allowing users to directly input data into the control device 30. Additionally, the I / O interface 35 can be connected to a display with display capabilities, such as an LCD screen, touchscreen, or LED display. The control device 30 can output processed data as image display data to the display for display, such as images of the first target cell, the second target cell, the third target cell, the fourth target cell, and the fifth target cell.

[0262] The communication interface 34 can be any known communication protocol. The communication interface 34 communicates with the outside world via a network. The control device 30 can transmit data with any device connected to the network via the communication interface 34 using a specific communication protocol.

[0263] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0264] The features mentioned above in the specification, drawings, and claims can be combined in any way, provided they are meaningful within the scope of this invention and do not contradict each other. The features and advantages described for the method according to this invention are adapted accordingly to the cell image analyzer according to this invention, and vice versa.

[0265] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily 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 invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for locating a region of interest on a blood film in a blood smear, characterized in that, The method includes: The control device acquires the starting and ending imaging positions of the image capturing device when capturing cells from a blood smear, wherein the line connecting the starting and ending imaging positions passes through the region of interest; The control device causes the image capturing device to move relative to the blood smear, and causes the image capturing device to continuously capture multiple cell images of different positions on the blood smear at preset image intervals starting from the initial capturing position, until the relative movement and capturing stop at the final capturing position; the control device determines the target position of the region of interest based on the image features of the multiple cell images corresponding to different positions on the blood smear and the capturing position; the target position is the blood membrane boundary, which includes the long edge and the tail of the blood membrane; The control device determines the target location of the region of interest based on the image features and shooting positions of multiple cell images, including: Determining which frame of the cell image represents the target location of the region of interest by analyzing changes in cell regions in at least two consecutively captured images, including at least one of the following: If the image features of the first or last cell image captured in at least two consecutive cell images represent a partially blank cell region corresponding to the first or last cell image, and the image features of at least one other cell image represent a completely blank or full cell region corresponding to the other cell images, then the capture position of the first or last cell image is the target position of the long edge. If the control device analyzes the image features of any cell image among the multiple cell images; if the image features of any cell image represent a blank cell region corresponding to the cell image, or if the distribution information of the cell region of any cell image meets a preset distribution condition, then the shooting position of any cell image is the target position of the long side edge; If the image features of the first or last cell image captured in at least two consecutive cell images indicate that the numerical value of the red blood cell clusters in the first or last cell image is greater than a third threshold and / or the cell region area is less than a fourth threshold, and the numerical value of the red blood cell clusters in at least one other cell image is less than or equal to the third threshold and / or the cell region area is greater than or equal to the fourth threshold, then the capture position of the first or last cell image is the target position of the tail.

2. The method as described in claim 1, characterized in that, The control device identifies cell regions in the analyzed cell image based on the grayscale or color difference between the cells and the background.

3. The method as described in claim 1, characterized in that, The control device analyzes the image features of the cell image, including: The control device identifies cell regions in the analyzed cell image based on the grayscale or color difference between cells and the background in the cell image. If the area of ​​the cell region in the cell image is less than a first threshold, then the cell image corresponds to a completely blank area; if the area of ​​the cell region in the cell image is greater than or equal to the first threshold, then the cell image corresponds to a partially blank cell region; and / or, If the area of ​​the cell region in the cell image is greater than the second threshold, then the cell image corresponds to the whole cell region; if the area of ​​the cell region in the cell image is less than or equal to the second threshold, then the cell image corresponds to a partially blank cell region.

4. The method as described in claim 3, characterized in that, The starting shooting position and the final shooting position are respectively located on both sides of one long edge of the blood membrane, or the starting shooting position and the final shooting position are respectively located outside the long edge of both sides of the blood membrane.

5. The method as described in claim 4, characterized in that, The blood film on the blood smear includes a head, a body, and a tail along the smearing direction, and the long edge is the long edge of the head or the body.

6. The method as described in claim 1, characterized in that, The blood film on the blood smear includes a head, a body, and a tail along the smearing direction, and the method further includes: The control device determines the first target shooting position of the long side edge based on the target position of the long side edge; The control device causes the image capturing device to move relative to the blood smear so as to position the image capturing device at the first target capturing position; The control device causes the image capturing device and the blood smear to continue moving relative to each other from the first target shooting position along an edge shooting path toward the tail, so that the image capturing device captures multiple images of the first target cells along the long edge of the blood membrane.

7. The method as described in claim 6, characterized in that, The control device enables the image capturing device to capture multiple images of the first target cells, and the method further includes: The control device determines a second target shooting position on the long side edge based on the target position of the long side edge, wherein the second target shooting position is different from the first target shooting position; The control device causes the image capturing device to move relative to the blood smear, so as to position the image capturing device at the second target capturing position; The control device causes the image capturing device and the blood smear to continue moving relative to each other from the second target capturing position, parallel to the edge capturing path, so that the image capturing device captures multiple images of the second target cells along the long edge of the blood membrane.

8. The method as described in claim 7, characterized in that, After the image capturing device captures multiple images of the second target cells along the long edge of the blood membrane, the method further includes: Determine whether the captured area of ​​the plurality of first target images and the plurality of second target cell images is greater than or equal to a preset area; If the area is greater than or equal to the preset area, stop shooting; If the area is smaller than a preset area, the control device, based on the third target shooting position of the long edge, causes the image shooting device and the blood smear to continue to move relative to each other from the third target shooting position, parallel to the edge shooting path, so that the image shooting device captures multiple third target cell images of the long edge of the blood membrane, wherein the third target shooting position is different from the second target shooting position.

9. The method according to any one of claims 6 to 8, characterized in that, The method further includes: The control device outputs multiple first target cell images and / or multiple second target images and / or multiple third target cell images of the long edge of the blood membrane; and / or The control device determines whether there is abnormal white blood cell and / or platelet aggregation in the blood smear based on multiple first target cell images and / or multiple second target images and / or multiple third target cell images of the long edge of the blood film.

10. The method according to any one of claims 6 to 8, characterized in that, The method further includes: The control device sequentially analyzes the image features of at least two first target cell images captured sequentially from the plurality of first target cell images; If the changes in the image features of the at least two first target cell images taken successively indicate the presence of red blood cell clusters and / or small tail features of cell regions, then the location of the last first target cell image taken among the at least two first target cell images is the target location of the tail.

11. The method as described in claim 10, characterized in that, The changes in the image features of the at least two sequentially captured images of the first target cell indicate the presence of red blood cell clusters and / or small tail features in the cell region, including: The numerical value of erythrocyte clusters in the last of the at least two first target cell images taken sequentially is greater than a third threshold and / or the cell region area is less than a fourth threshold, and the numerical value of erythrocyte clusters in the remaining at least one first target cell image is less than or equal to the third threshold and / or the cell region area is greater than or equal to the fourth threshold.

12. The method as described in claim 10, characterized in that, The method further includes: The control device determines the tail shooting path based on the target position of the tail. The control device causes the image capturing device and the blood smear to move relative to each other along the tail imaging path, so that the image capturing device captures multiple images of the fourth target cells along the tail imaging path.

13. The method as described in claim 12, characterized in that, The method further includes: The control device outputs multiple first target cell images and / or multiple second target images and / or multiple fourth target cell images of the long edge of the blood membrane; and / or The control device determines whether there is abnormal white blood cell and / or platelet aggregation in the blood smear based on multiple first target cell images of the long edge and / or multiple second target cell images of the tail.

14. The method as described in claim 1, characterized in that, The initial imaging position and the final imaging position are respectively located outside the two side edges of the tail of the blood membrane; or The initial imaging position is located at the tail end of the blood film, while the final imaging position is located after the tail end along the application direction; or The initial shooting position is located after the tail along the smear direction, while the final shooting position is in the tail of the blood film.

15. The method as described in claim 1, characterized in that, The method further includes: The control device determines the first tail shooting path based on the first target position of the tail. The control device causes the image capturing device and the blood smear to move relative to each other along the first tail imaging path, so that the image capturing device captures multiple images of the fourth target cells along the first tail imaging path.

16. The method as described in claim 15, characterized in that, The method further includes: The control device outputs multiple images of the fourth target cells at the tail; and / or the control device determines whether there are abnormal white blood cells and / or platelet aggregations in the blood smear based on the multiple images of the fourth target cells at the tail.

17. The method as described in claim 4 or 5, characterized in that, The line connecting the initial shooting position and the final shooting position is perpendicular to the edge of the blood smear.

18. The method as described in claim 9, characterized in that, The method further includes: The control device estimates the platelet count of the blood smear based on at least one target cell image from the long edge of the blood membrane and / or at least one target cell image from the tail of the blood membrane.

19. A method for locating a region of interest on a blood film in a blood smear, characterized in that, The method includes: The control device acquires the initial imaging position and preset movement direction of the image imaging device for cell imaging of the blood smear; the preset movement direction is parallel to the plane of the blood smear where the blood membrane is located; The control device causes the image capturing device to move relative to the blood smear, so that the image capturing device can capture cell images of the blood smear from the initial capturing position along the preset moving direction and analyze the cell images; When the control device determines that the change in the cell region of the current cell image relative to the cell region of a cell image taken before or after the current cell image meets a third preset condition, the shooting position of the current cell image is determined as the target position of the region of interest; the target position is the blood membrane boundary; the blood membrane boundary includes the long edge and the tail of the blood membrane; When the control device determines that the change in the cell region of the current cell image relative to the cell region of cell images taken before or after the current cell image meets a third preset condition, it determines the shooting position of the current cell image as the target position of the region of interest, including at least one of the following: If the current cell image corresponds to a partially blank cell region, and the cell image taken before or after the current cell image corresponds to a completely blank region or a whole cell region, then the shooting position of the current cell image is determined as the target position of the long edge of the blood membrane. If the change in the cell region of the current cell image relative to the cell region of cell images taken before or after the current cell image indicates the presence of red blood cell clusters and / or small tail features in the cell region, then the location where the current cell image was taken is determined as the target location of the tail.

20. The method as described in claim 19, characterized in that, When the control device determines that the changes in the cell region of the current cell image relative to cell images taken before or after the current cell image meet a third preset condition, it determines the capture position of the current cell image as the target position of the region of interest, including: The control device identifies cell regions in the analyzed cell image based on the grayscale or color difference between the cells and the background.

21. The method according to any one of claims 19 to 20, characterized in that, The method further includes: The control device determines the first target shooting position based on the target position of the long side edge; The control device causes the image capturing device to move relative to the blood smear so as to position the image capturing device at the first target capturing position; The control device causes the image capturing device and the blood smear to continue to move relative to each other from the first target capturing position along a preset edge capturing path, so that the image capturing device captures multiple first target cell images of the long edge of the blood membrane on the edge capturing path.

22. The method as described in claim 21, characterized in that, After the image capturing device captures the plurality of images of the first target cells, the method includes: The control device determines the second target shooting position based on the target position of the long side edge, wherein the second target shooting position is different from the first target shooting position; The control device causes the image capturing device to move relative to the blood smear, so as to position the image capturing device at the second target capturing position; The control device causes the image capturing device and the blood smear to continue moving relative to each other from the second target capturing position, parallel to the edge capturing path, so that the image capturing device captures multiple images of the second target cells along the long edge of the blood membrane.

23. The method as described in claim 19, characterized in that, The blood film on the blood smear includes a head, body, and tail along the smearing direction.

24. The method as described in claim 23, characterized in that, The method further includes: The control device determines the first tail shooting path based on the target position of the tail. The control device causes the image capturing device and the blood smear to move relative to each other along the first tail imaging path, so that the image capturing device captures multiple images of the fourth target cells along the first tail imaging path.

25. The method as described in claim 24, characterized in that, The method further includes: The control device determines the second tail shooting path based on the target position of the tail. The control device causes the image capturing device and the blood smear to move relative to each other along the second tail imaging path, so that the image capturing device captures multiple images of the fifth target cells along the second tail imaging path.

26. A method for locating a region of interest on a blood film in a blood smear, characterized in that, The method includes: The control device receives the mode selection command; When the mode selection instruction received by the control device is dynamic mode, the target position of the region of interest is determined by the method according to any one of claims 1 to 25; When the mode selection instruction received by the control device is a fixed mode, the target position of a fixed preset region of interest is obtained; The control device determines the shooting path of the region of interest based on the target location of the region of interest.

27. A cell image analyzer, characterized in that, include: An image capturing device, comprising a camera and a lens assembly, is used to capture images of cells in a blood film on a blood smear. A smear moving device for moving the image capturing device and the blood smear relative to each other; A control device, communicatively connected to the image capturing device and the smear moving device, and configured to: The starting and ending imaging positions of the image capturing device for cell imaging of the blood smear are obtained, wherein the line connecting the starting and ending imaging positions passes through the region of interest of the blood smear. Control the smear moving device so that the image capturing device moves relative to the blood smear; The image capturing device is controlled to continuously capture multiple cell images of different positions on the blood smear at preset image intervals starting from the initial capturing position, until the smear moving device and the image capturing device stop operating at the final capturing position; Based on the image features and shooting positions of the multiple cell images corresponding to different locations of the blood smear, the target location of the region of interest is determined; the target location is the blood membrane boundary; the blood membrane boundary includes the long edge and the tail of the blood membrane; The step of determining the target location of the region of interest based on the image features and shooting location of the multiple cell images corresponding to different locations of the blood smear includes: Determine which frame of the cell image is the target location of the region of interest by analyzing changes in the cell regions of at least two consecutively captured images, including at least one of the following: If the image features of the first or last cell image captured in at least two consecutive cell images represent a partially blank cell region corresponding to the first or last cell image, and the image features of at least one other cell image represent a completely blank or full cell region corresponding to the other cell images, then the capture position of the first or last cell image is the target position of the long edge. If the control device analyzes the image features of any cell image among the multiple cell images; if the image features of any cell image represent a blank cell region corresponding to the cell image, or if the distribution information of the cell region of any cell image meets a preset distribution condition, then the shooting position of any cell image is the target position of the long side edge; If the image features of the first or last cell image captured in at least two consecutive cell images indicate that the numerical value of the red blood cell clusters in the first or last cell image is greater than a third threshold and / or the cell region area is less than a fourth threshold, and the numerical value of the red blood cell clusters in at least one other cell image is less than or equal to the third threshold and / or the cell region area is greater than or equal to the fourth threshold, then the capture position of the first or last cell image is the target position of the tail.

28. The cell image analyzer according to claim 27, characterized in that, The control device is further configured to implement the method of any one of claims 2 to 8, 11 to 16, and 18.

29. The cell image analyzer according to claim 27, characterized in that, The control device is further configured to implement the method of claim 9.

30. The cell image analyzer according to claim 27, characterized in that, The control device is further configured to implement the method of claim 10.

31. The cell image analyzer according to claim 27, characterized in that, The control device is further configured to implement the method of claim 17.

32. A cell image analyzer, characterized in that, include: An image capturing device, comprising a camera and a lens assembly, is used to capture images of cells in a blood film on a blood smear. A smear moving device for moving the image capturing device and the blood smear relative to each other; A control device, communicatively connected to the image capturing device and the smear moving device, and configured to: The image capturing device is used to capture cells from the blood smear, and the preset moving direction is obtained. The preset moving direction is parallel to the plane of the blood smear where the blood membrane is located. Control the smear moving device so that the image capturing device moves relative to the blood smear; The image capturing device is controlled to capture cell images of the blood smear from the initial capturing position and the cell images are analyzed. When the changes in the image features of the current cell image relative to the cell regions of cell images taken before or after the current cell image meet preset conditions, the shooting position of the current cell image is determined as the target position of the region of interest; the target position is the blood membrane boundary; the blood membrane boundary includes the long edge and the tail of the blood membrane; When the control device determines that the change in the cell region of the current cell image relative to the cell region of cell images taken before or after the current cell image meets a third preset condition, it determines the shooting position of the current cell image as the target position of the region of interest, including at least one of the following: If the current cell image corresponds to a partially blank cell region, and the cell image taken before or after the current cell image corresponds to a completely blank region or a whole cell region, then the shooting position of the current cell image is determined as the target position of the long edge of the blood membrane. If the change in the cell region of the current cell image relative to the cell region of cell images taken before or after the current cell image indicates the presence of red blood cell clusters and / or small tail features in the cell region, then the location where the current cell image was taken is determined as the target location of the tail.

33. The cell image analyzer according to claim 32, characterized in that, The control device is further configured to implement the method of any one of claims 19 to 20, 22 to 25.

34. The cell image analyzer according to claim 32, characterized in that, The control device is further configured to implement the method of claim 21.

35. A cell image analyzer, characterized in that, include: An image capturing device, comprising a camera and a lens assembly, is used to capture images of cells in a blood film on a blood smear. A smear moving device for moving the image capturing device and the blood smear relative to each other; A mode selection device is used to select a dynamic mode or a fixed mode. In the dynamic mode, the target position of the region of interest can be dynamically determined according to different blood smears, while in the fixed mode, the target position of the region of interest can be fixedly preset. The target position is the blood film boundary. The blood film boundary includes the long edge and the tail of the blood film. The control device is communicatively connected to the image capturing device, the smear moving device, and the mode selection device, and is configured to: Obtain the mode selection result from the mode selection device. When the dynamic mode is selected, the following method is implemented, the method comprising: a control device acquiring a starting position and a final position for the image capturing device to capture cells from a blood smear, wherein the line connecting the starting position and the final position passes through the region of interest; the control device causing the image capturing device to move relative to the blood smear, and causing the image capturing device to capture multiple cell images at different positions on the blood smear starting from the starting position until the relative movement and capturing stop at the final position; the control device determining the target position of the region of interest based on the image features and capturing positions of the multiple cell images corresponding to different positions on the blood smear; When the fixed mode is selected, the target location of the fixed preset region of interest is obtained. Based on the target location of the region of interest, the smear moving device is controlled to move relative to the blood smear so as to locate the target location of the region of interest.

Images