Cell image analyzer, sample analysis system and cell image analysis method

Abstract

The invention relates to a cell image analyzer, a sample analysis system and a cell image analysis method. The cell image analyzer comprises: an imaging device for shooting a cell image; the bearing device is used for bearing the blood smear on which the blood film is applied; the control device is used for controlling the blood smear and the imaging device to move relative to each other, so that a plurality of shooting points in a target area of the blood film are respectively positioned in a visual field of the imaging device, and controlling the imaging device to shoot images of the shooting points in the visual field of the imaging device so as to obtain target cell images of the plurality of shooting points in the target area; the image analysis device is used for identifying platelets in the multiple target cell images and acquiring actual platelet distribution information of the blood membrane based on the platelets identified in the multiple target cell images and the shooting positions of the multiple target cell images in the smearing direction; and based on the actual platelet distribution information, acquiring platelet count and / or judging whether the to-be-detected blood sample is a platelet aggregation sample or not.

Description

Technical Field

[0001] This application relates to the field of cell image analysis, and in particular to a cell image analyzer, a sample analysis system, and a cell image analysis method. Background Technology

[0002] Platelet count is an important test in a routine blood test, referring to the number of platelets contained in a unit volume of blood. Platelets are the smallest cells in the blood, protecting the integrity of capillaries and playing a vital role in the body's normal hemostasis process.

[0003] When the platelet count is below a certain value (20 × 10⁻⁶), 9 When platelets count is low ( / L), a platelet transfusion is clinically necessary to prevent fatal bleeding. While blood cell analyzers can accurately count platelets in normal samples, they may produce falsely low counts in samples with abnormal platelet aggregation. In such cases, administering an incorrect transfusion not only increases the medical burden but also poses clinical risks.

[0004] Therefore, for samples with low platelet counts reported by blood cell analyzers, laboratory personnel generally need to manually re-examine the samples under a microscope to confirm the platelet count. However, manual microscopic examination is inefficient and can easily cause visual fatigue.

[0005] To address this, a new technology has been developed that proposes an automated digital microscope (also known as a blood cell digital imaging device or cell image analyzer) for automatically capturing images of cells in blood smears and analyzing the captured cell images.

[0006] However, when there are platelet abnormalities in a blood sample, platelet aggregation occurs in the blood smear prepared from the blood sample by smearing, which makes it impossible for digital microscopes to accurately estimate the platelet count. Summary of the Invention

[0007] In order to solve at least some of the problems in the related technologies, the objective of this application is to provide a technical solution that can improve the accuracy of platelet analysis results by digital microscopy.

[0008] To achieve the above objectives, a first aspect of this application provides a cell image analyzer, comprising:

[0009] Imaging devices used to capture images of cells;

[0010] A carrier device for holding a blood smear on which a blood film is applied. The blood film is formed by applying a blood sample to be tested onto a glass slide along the smearing direction. The blood film includes a head, a body and a tail that are adjacent to each other along the smearing direction.

[0011] A control device is configured to: in a first counting mode, control the blood smear on the support device to move relative to the imaging device, such that multiple imaging points in a first target region of the blood membrane are respectively located in the field of view of the imaging device; and control the imaging device to capture images of the imaging points in its field of view to obtain first target cell images of the multiple imaging points in the first target region, wherein the first target region includes at least a portion of a platelet aggregation region, preferably including at least a portion of the tail of the blood membrane; and

[0012] An image analysis device is configured to: in the first counting mode, identify platelets in multiple images of the first target cells, and based on the platelets identified in the multiple images of the first target cells and the shooting positions of the multiple images of the first target cells in the smearing direction, obtain actual platelet distribution information of the blood film, wherein the actual platelet distribution information of the blood film characterizes the relationship between multiple different positions of the blood film along the smearing direction and the number of platelets corresponding to each position.

[0013] The image analysis device is further configured to: in the first counting mode, obtain the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood membrane and / or determine whether the blood sample to be tested is a platelet aggregation sample based on the actual platelet distribution information of the blood membrane.

[0014] To achieve the above objectives, a second aspect of this application provides a sample analysis system, comprising:

[0015] A blood cell analyzer is used to classify and count cells in a blood sample.

[0016] A smear preparation apparatus is used to prepare a blood smear from the blood sample to be tested by smearing a portion of the blood sample to be tested onto a glass slide along the smearing direction to form a blood film, wherein the blood film includes a head, a body and a tail that are adjacent to each other along the smearing direction.

[0017] A cell image analyzer is used to capture images of multiple points in a target region of the blood membrane to obtain target cell images of the captured points, wherein the target region includes at least a portion of a platelet aggregation region, preferably including at least a portion of the tail of the blood membrane; and

[0018] The processor is configured to acquire and identify platelets in multiple target cell images, and based on the platelets identified in the multiple target cell images and the shooting positions of the multiple target cell images in the smearing direction, acquire actual platelet distribution information of the blood film, wherein the actual platelet distribution information of the blood film characterizes the relationship between multiple different positions of the blood film along the smearing direction and the number of platelets corresponding to each position.

[0019] The processor is further configured to: obtain the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood membrane, and / or determine whether the blood sample to be tested is a platelet aggregation sample based on the actual platelet distribution information of the blood membrane.

[0020] To achieve the above objectives, a third aspect of this application provides a cell image analysis method, comprising:

[0021] A blood smear is prepared from a blood sample to be tested by smearing a portion of the blood sample onto a glass slide along the smearing direction to form a blood film, wherein the blood film includes a head, a body and a tail that are adjacent to each other along the smearing direction.

[0022] Multiple imaging points in the target region of the blood membrane are photographed to obtain target cell images at the imaging points, wherein the target region includes at least a portion of the tail of the blood membrane;

[0023] Identify platelets in multiple images of the target cells;

[0024] Based on the platelets identified in the multiple target cell images and the shooting positions of the multiple target cell images in the application direction, the actual platelet distribution information of the blood membrane is obtained. This actual platelet distribution information characterizes the relationship between multiple different positions of the blood membrane along the application direction and their corresponding platelet counts.

[0025] The platelet count of the blood sample to be tested is obtained based on the actual platelet distribution information.

[0026] In the technical solutions provided in this application, multiple imaging points are used to capture images of the target area of ​​the blood membrane to obtain target cell images. Analysis of these target cell images yields the actual platelet distribution information along the smearing direction of the blood membrane. The actual platelet distribution information obtained according to this application accurately reflects the distribution of platelets along the smearing direction throughout the entire blood membrane, thereby enabling more accurate platelet analysis results, such as platelet counts or abnormal platelet alarms, based on this actual platelet distribution information. Attached Figure Description

[0027] Figure 1This is a schematic block diagram of a cell image analyzer according to some embodiments of this application.

[0028] Figure 2 This is a schematic diagram of a blood smear according to some embodiments of this application.

[0029] Figure 3 This is a schematic structure of a cell image analyzer according to some embodiments of this application.

[0030] Figure 4 This is a schematic structure of a control device according to some embodiments of this application.

[0031] Figure 5 This describes the actual platelet distribution in normal blood samples according to some embodiments of this application.

[0032] Figure 6 This describes the actual platelet distribution in a blood sample with platelet aggregation according to some embodiments of this application.

[0033] Figure 7 This is an illustrative selection of a first target region according to some embodiments of this application.

[0034] Figure 8 This is a fitting representation of the actual platelet distribution of a normal blood sample according to some embodiments of this application.

[0035] Figure 9 This is a fitting representation of the actual platelet distribution in a blood sample containing platelet aggregation according to some embodiments of this application.

[0036] Figure 10 This is the actual platelet distribution obtained by fitting a normal blood sample according to other embodiments of this application.

[0037] Figure 11 This is a fitting representation of the actual platelet distribution in a blood sample with platelet aggregation according to other embodiments of this application.

[0038] Figure 12 This is a schematic diagram of intermittent fixed-point photography according to some embodiments of this application.

[0039] Figure 13 and Figure 14 This is a schematic diagram of continuous flight photography according to some embodiments of this application.

[0040] Figure 15 This is an ideal platelet distribution curve according to some embodiments of this application.

[0041] Figure 16 This is a schematic structure of a sample analysis system according to some embodiments of this application.

[0042] Figure 17 This is a schematic flowchart of a cell image analysis method according to some embodiments of this application. Detailed Implementation

[0043] 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 a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0044] It should be noted that the terms "first, second, and third" used in the embodiments of this application are merely to distinguish similar objects and do not represent a specific order of objects. It can be understood that "first, second, and third" can be interchanged in a specific order or sequence where permitted.

[0045] As mentioned in the background section, blood smears are typically prepared by smearing. For example, blood is dropped onto a glass slide, and then a spreading operation is performed to spread the blood into a blood film shape on the slide. For blood samples with platelet abnormalities, the smearing method can cause platelet aggregation in the blood smear, resulting in inaccurate platelet analysis results, especially platelet counts, from digital cell image analyzers.

[0046] Based on this, this application proposes a technical solution for obtaining the actual distribution of platelets throughout the blood membrane.

[0047] like Figure 1 As shown, this application embodiment provides a cell image analyzer 100, including a support device 110, an imaging device 120, a control device 130, and an image analysis device 140. The support device 110 is configured to support a blood smear with a blood membrane applied; the imaging device 120 is configured to capture cell images, i.e., images of cells in the blood membrane; the control device 130 is configured to control the support device 110 and the imaging device 120 to perform corresponding actions to acquire cell images at various shooting points in the blood membrane; and the image analysis device 140 is configured to analyze the acquired cell images and their shooting positions on the blood membrane to obtain actual platelet distribution information reflecting the platelet distribution throughout the blood membrane. For example, the image analysis device 140 is configured to identify platelets in the cell images using conventional image algorithms or deep neural networks.

[0048] In the embodiments of this application, such as Figure 2As shown, a blood film 10 is applied to the blood smear 1. The blood film 10 is formed by smearing the blood sample to be tested onto the slide along the smearing direction (arrow A to B). The blood film 10 includes a head 11, a body 12, and a tail 13 that are adjacent to each other along the smearing direction.

[0049] In some embodiments, the carrier 110 includes a carrier platform having a receiving groove for receiving a blood smear and a drive device, such as a motor, for driving the carrier platform to perform three-dimensional movement. The carrier platform is positioned below the imaging device to facilitate the imaging device in imaging the blood smear in the receiving groove of the carrier platform. In other alternative embodiments, the carrier 110 is configured as a robotic arm for gripping a sample carrier to be tested; that is, the carrier platform can be eliminated, and the robotic arm directly drives the gripped blood smear to perform horizontal and vertical movements.

[0050] In some embodiments, such as Figure 3 As shown, the imaging device 120, also known as a microscopic optical module, is used to capture images of cells in the blood film on a blood smear. This microscopic optical module includes a lens group 121 and a camera 122. The lens group 121 may include a first objective lens 1211 and a second objective lens 1212. The first objective lens 1211 may be, for example, a 10x or 40x objective lens, and the second objective lens 1212 may be, for example, a 40x or 100x objective lens. The lens group 121 may also include a switching mechanism 1213 for switching between the first objective lens 1211 and the second objective lens 1212, so that the camera 122 can capture sample component images at different magnifications.

[0051] Of course, in other embodiments, the imaging device 120 may also include only a camera, that is, the lens group may be omitted.

[0052] In some embodiments, the carrier 110 is configured to move in both horizontal and vertical directions, thereby moving the blood smear carried by the carrier 110 relative to the fixed imaging device 120 in both horizontal and vertical directions. In other embodiments, the carrier 110 is fixedly disposed, while the imaging device 120 is configured to move in both horizontal and vertical directions. In still other embodiments, both the carrier 110 and the imaging device 120 are configured to move in both horizontal and vertical directions.

[0053] In some embodiments, such as Figure 4 As shown, the control device 130 may include at least: a processing component 2401, RAM 2402, ROM 2403, a communication interface 2404, a memory 2406, and an I / O interface 2405, wherein the processing component 2401, RAM 2402, ROM 2403, communication interface 2404, memory 2406, and I / O interface 2405 communicate via a bus 2407.

[0054] In some embodiments, the processing component may be a CPU, GPU, or other chip with computing power. The memory 2406 contains various computer programs, such as an operating system and applications, for the processor component 2401 to execute, as well as the data required to execute these computer programs. Additionally, during cell image acquisition, any data that needs to be stored locally can be stored in the memory 2406, such as the acquired cell images and actual platelet distribution information obtained through analysis.

[0055] In some embodiments, the I / O interface 2405 comprises serial interfaces such as USB, IEEE 1394, or RS-232C, parallel interfaces such as SCSI, IDE, or IEEE 1284, and analog signal interfaces such as 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 2405, allowing users to directly input data into the control device 2400. Additionally, the I / O interface 2405 can also be connected to a display with display capabilities, such as an LCD screen, touchscreen, or LED display, allowing the control device 2400 to output data, such as cell images, for display.

[0056] In some embodiments, the communication interface 2404 can be an interface using any known communication protocol. The communication interface 2404 communicates with the outside world via a network. The control device 2400 can transmit data with any device connected through the network via the communication interface 2404 using a certain communication protocol.

[0057] In some embodiments, the image analysis device 140 may be implemented in software or hardware. For example, the image analysis device 140 may be stored in the memory 2406 of the control device 130 as software, or the image analysis device 140 may be integrated into the processing component 2401 of the control device 130 as hardware.

[0058] In other embodiments, the image analysis device 140 may also be configured as a processor or middleware independent of the control device 130. For example, the image analysis device 140 may be installed as middleware in a computer that is signal-connected to the control device 130.

[0059] In some embodiments, the control device 130 is configured to: in a first counting mode, control the blood smear on the carrier device 110 to move relative to the imaging device 120, so that multiple imaging points in the first target region of the blood membrane are respectively located in the field of view of the imaging device 110, and control the imaging device 110 to capture images of the imaging points in its field of view to obtain first target cell images of the multiple imaging points in the first target region. Accordingly, the image analysis device is configured to: in the first counting mode, identify platelets in multiple first target cell images, and based on the platelets identified in the multiple first target cell images and the imaging positions of the multiple first target cell images in the smear direction, obtain actual platelet distribution information of the blood membrane.

[0060] In this application, the actual platelet distribution information of the blood film represents the relationship between multiple different locations on the blood film, especially the entire blood film along the smear direction, and the corresponding platelet counts. In other words, the actual platelet distribution information of the blood film represents the distribution of platelet counts on the blood film, especially the entire blood film along the smear direction, such as... Figure 5 and Figure 6 As shown. Here, Figure 5 This shows the actual platelet distribution in a normal blood sample, while Figure 6 This shows the actual platelet distribution in a blood sample where platelet aggregation is present. Figure 5 and Figure 6 In the strength, the horizontal axis represents the position along the smearing direction of the blood film, and the vertical axis represents the number of platelets at the position along the smearing direction of the blood film.

[0061] It should be understood that the actual platelet distribution information provided according to the embodiments of this application can reflect the distribution of platelets throughout the blood film, especially the distribution of platelet count. That is, by using the actual platelet distribution information provided according to the embodiments of this application, the platelet count, platelet concentration, or platelet density in any region of the blood film can be determined. In other words, given the location of the region of interest in the blood film in the smear direction, the actual platelet distribution information provided by the embodiments of this application can provide the platelet count, platelet concentration, or platelet density of that specific region.

[0062] For example, the actual platelet distribution information provided in the embodiments of this application can be understood as a platelet distribution model that reflects the mapping relationship between the position of the blood film along the smearing direction and the number of platelets at that position on the blood film.

[0063] It should also be understood that the term "entire blood membrane" as used in the embodiments of this application includes at least 70% or 80% or 90% or 95% of the area of ​​the blood membrane.

[0064] Furthermore, the actual platelet distribution information of the blood film also characterizes the relationship between multiple different positions of the blood film along the application direction and the corresponding number of first target cell images and platelet counts. In some embodiments, the number of first target cell images corresponding to different positions along the application direction is the same.

[0065] In this embodiment of the application, the first target region includes at least a portion of the platelet aggregation region.

[0066] When abnormal platelet aggregation occurs in a blood sample, the platelet distribution in the blood film prepared from that blood sample is abnormal, especially potentially concentrated in the tail region. In other words, platelet aggregation may occur in the tail region of the blood film. Therefore, to obtain a more accurate picture of the actual platelet distribution, in some embodiments, the first target region includes at least a portion of the tail 13 of the blood film, preferably the entire tail 13. Those skilled in the art will understand that the first target region includes at least the area where platelet aggregation may occur.

[0067] In some embodiments, the first target region includes at least the region located at the tail end of the blood membrane, preferably including the entire region of the blood membrane. That is, the control device 130 is configured to control the carrier device 110 and the imaging device 120 to perform corresponding actions, such that the imaging device 120 scans and captures images of the entire blood membrane, for example, column-by-column (perpendicular to the smearing direction) or row-by-row (along the smearing direction), to obtain cell images of the entire region of the blood membrane.

[0068] As one implementation method, scanning the entire blood film can be done without gaps. That is, there is no gap between two adjacent fields of view, especially in the smear direction.

[0069] As another implementation method, scanning the entire blood film can be done with intervals (especially intervals in the smear direction), and particularly with uniformly spaced intervals. That is, there is a preset interval between two adjacent fields of view, especially in the smear direction. This can improve imaging efficiency.

[0070] In other embodiments, the first target region may include only at least a portion of the blood membrane, preferably including the tail 13 of the blood membrane and at least a portion of the body 12 of the blood membrane. That is, the control device 130 is configured to control the carrier device 110 and the imaging device 120 to perform corresponding actions, such that the imaging device 120 scans and captures images of a portion of the blood membrane, for example, column-by-column (perpendicular to the smear direction) or row-by-row (along the smear direction), to obtain a cell image of that portion of the blood membrane. This also improves imaging efficiency.

[0071] It is understood here that scanning a portion of the blood film can be done without intervals or with intervals (especially with intervals in the smear direction).

[0072] For example, such as Figure 7 As shown in red, the first target region includes the entire tail of the blood membrane and a portion of the body of the blood membrane.

[0073] In some embodiments, particularly when the scanning images are taken at intervals or when the first target region includes only at least a portion of the blood membrane, the image analysis device 140 is further configured to obtain actual platelet distribution information of the blood membrane by: obtaining distribution data of the first target region based on the platelets identified in the plurality of first target cell images and the shooting positions of the plurality of first target cell images in the smearing direction, wherein the distribution data of the first target region includes a plurality of shooting positions of the first target region along the smearing direction and the number of platelets at each shooting position, and obtaining actual platelet distribution information of the blood membrane based on the distribution data of the first target region.

[0074] In some embodiments, obtaining the actual platelet distribution information of the blood membrane based on the distribution data of the first target region includes:

[0075] The distribution data of the first target region is fitted to obtain the fitted distribution data of the first target region; and

[0076] The actual platelet distribution information of the blood membrane is obtained based on the fitted distribution data of the first target region. In other words, in this embodiment, the actual platelet distribution information of the blood membrane is a fitted curve or function obtained by fitting the distribution data of the first target region. By using the fitted curve or function that reflects the actual platelet distribution of the entire blood membrane, the number of platelets or the platelet concentration at any position along the application direction can be obtained.

[0077] As one implementation method, as mentioned earlier, to improve imaging efficiency, a representative area can be selected from the blood membrane as the first target area for continuous scanning. Then, the scanning results of the representative area (the number of platelets at different shooting positions along the smear direction) are fitted to obtain one or more straight lines or curves to obtain the actual platelet distribution information of the entire blood membrane. Here, as... Figure 7 As shown, a representative area can consist of the entire tail and a portion of the body. Figure 8 This shows the process of passing a normal blood sample through... Figure 7 The actual platelet distribution is obtained by fitting the non-interval scan results of the representative region shown. Figure 9This shows the blood sample containing platelet aggregation through... Figure 7 The actual platelet distribution is obtained by fitting the non-interval scan results of the representative region shown. Figure 8 and Figure 9 In the diagram, the blue data points represent the distribution data obtained from actual shooting, while the red lines are the fitting curves or fitting functions obtained by fitting the distribution data.

[0078] As other implementations, as mentioned earlier, to improve imaging efficiency, the first target area can be scanned at intervals. The platelet counts at different shooting positions along the smear direction are then fitted to obtain the actual platelet distribution information of the entire blood film. For example, the first target area can be scanned at uniform intervals along the smear direction, and then linear interpolation or Gaussian curve fitting can be used to obtain the actual platelet distribution information of the entire blood film. Here, as... Figure 7 As shown, the first target region can consist of the entire tail and a part of the body. Figure 10 This shows the process of passing a normal blood sample through... Figure 7 The actual platelet distribution is obtained by fitting the uniformly spaced scan results of the first target region shown. Figure 11 This shows the blood sample containing platelet aggregation through... Figure 7 The actual platelet distribution is obtained by fitting the uniformly spaced scan results of the first target region shown. Figure 10 and Figure 11 In the diagram, the blue data points represent the distribution data obtained from actual shooting, while the red lines are the fitting curves or fitting functions obtained by fitting the distribution data.

[0079] In some embodiments, scanning and imaging of the first target area can be achieved through a traditional intermittent fixed-point imaging method.

[0080] For example, the cell image analyzer 100 includes a horizontal motor and a vertical motor (not shown). The horizontal motor drives the support device 110 to move the blood smear horizontally relative to the imaging device so that the imaging point of the blood film on the blood smear is located within the imaging field of view. The vertical motor drives the support device 110 to move the blood smear vertically relative to the imaging device for focusing. Figure 12As shown, the horizontal motor first drives the blood smear 1 to move horizontally relative to the imaging device, that is, along the X direction (smear direction) and / or the Y direction (perpendicular to the smear direction), so that the first imaging point S1 on the blood smear 1 is in the field of view of the imaging device. Then the horizontal motor stops driving, and at the same time the vertical motor drives the blood smear to move vertically relative to the imaging device (along the Z direction perpendicular to the XY plane) in order to focus and photograph the sample at the first imaging point S1, and obtain a clear image of the first imaging point S1. Next, the vertical motor stops moving, and the horizontal motor drives the blood smear to move horizontally relative to the imaging device again, so that the next imaging point S2 on the blood smear 1 is in the field of view of the imaging device. Then the horizontal motor stops again, and the vertical motor drives the blood smear to move vertically relative to the imaging device, so that the imaging device focuses and photographs the sample at the next imaging point S2, and obtains a clear image of the next imaging point S2. Then the above steps are repeated to photograph a clear image of the next imaging point S3, and so on, until images of all imaging points are photographed. In this situation, both the horizontal and vertical motors repeatedly start and stop, and the imaging device needs to focus and take pictures for each field of view.

[0081] In other embodiments, scanning and imaging of the first target region can be achieved through continuous flight imaging. This significantly improves imaging efficiency. Specifically, the control device 130 is also configured to: in a first counting mode, control the blood smear 1 on the carrier 110 to continuously move relative to the imaging device 120, so that the imaging points in the first target region of the blood film are respectively located within the field of view of the imaging device, and control the imaging device to capture images of the imaging points within its field of view during the continuous relative movement of the blood smear with respect to the imaging device, thereby obtaining images of the first target cells in the first target region.

[0082] In a specific example, taking a blood smear as an example, the cell image analyzer 100 includes a first motor, a second motor, and a third motor (not shown). The imaging device is stationary. The first motor drives the support device to move the blood smear along the X direction, the second motor drives the support device to move the blood smear along the Y direction, and the third motor drives the support device to move the blood smear along the Z direction. That is, the first and second motors drive the support device to move the blood smear horizontally relative to the imaging device, while the third motor drives the support device to move the blood smear vertically relative to the imaging device, i.e., perpendicular to the horizontal plane, to adjust the focusing height. In this example, scanning and imaging can be performed column by column (C1-C4) within the first target area 20; alternatively, it can be performed row by row or oblique scanning. The column-by-column scanning method is as follows... Figure 13As shown, the second motor drives the carrier device to move the blood smear relative to the imaging device along column C1, and the imaging device captures cell images on column C1 of the blood smear. Then, the first motor drives the carrier device to move the blood smear relative to the imaging device to column C2, and the second motor again drives the carrier device to move the blood smear relative to the imaging device along column C2, and the imaging device captures cell images on column C2 of the blood smear. This process is repeated until column C4. The scanning and imaging process for each column is as follows: Figure 14 As shown, the second motor drives the carrier device to move the blood smear under test directly and at a constant speed from one end of C1 to the other end of C1 without stopping. Simultaneously, the third motor drives the carrier device to move the blood smear vertically along the Z direction (perpendicular to the XY plane, or the plane where the blood smear is placed horizontally) relative to the imaging device to ensure the blood smear is always in focus. During this process, the camera of the imaging device continuously captures images, obtaining a series of cell images M (each small square in the figure represents one cell image). While the first and second motors move the blood smear to the shooting point, the third motor also simultaneously moves the blood smear to the predicted focus surface of the shooting point. That is, the first, second, and third motors move and stop simultaneously to ensure that the blood smear is always in focus during the movement.

[0083] For more information on aerial photography, please refer to the applicant’s prior international patent application PCT / CN2020 / 112480, the disclosure of which is incorporated herein by reference.

[0084] In other embodiments, the distribution data of the first target region can also be directly used as the actual platelet distribution information of the blood membrane.

[0085] In some embodiments, the first target region is predetermined and fixed. For example, the same first target region can be set for all blood samples, or the first target region can be determined based on other parameters of the blood sample, such as whether the blood sample has platelet abnormalities, such as platelet aggregation abnormalities.

[0086] In other embodiments, the first target region can also be determined during the imaging process. For example, when the first target region needs to include the area of ​​the tail and body of the blood membrane, the tail and body of the blood membrane can be identified during the imaging process.

[0087] One implementation method is to take multiple cell images along the smear direction from the body to the tail, until a tail region with low cell count, large blank areas, and / or clustered red blood cells is found. In other words, during image acquisition, if changes in the image features of at least two consecutively captured target cell images indicate that cells, such as red blood cells, are clustered, and the total area of ​​the cell region decreases below a set threshold, then the tail region can be considered identified. The numerical characteristics of red blood cell clusters can be the proportion of red blood cell clusters, the number of red blood cell clusters, or the size of the area.

[0088] In some other implementations, if during the image capture process, it is found that 50% of the blood cells identified in the cell image are single cells and 50% are overlapping cells, then the body part is considered to have been identified.

[0089] For further information on tail and body identification, please refer to the applicant’s prior international patent application PCT / CN2020 / 112526, the disclosure of which is incorporated herein by reference.

[0090] In some embodiments, the image processing device 140 obtains actual platelet distribution information of the blood membrane based on platelets identified in the plurality of first target cell images and the shooting positions of the plurality of first target cell images in the application direction, including: counting the number of platelets in the first target cell images with the same shooting position in the application direction to obtain the number of platelets corresponding to the shooting position, and obtaining actual platelet distribution information of the blood membrane based on the shooting positions of the plurality of first target cell images in the application direction and the number of platelets corresponding to the shooting position.

[0091] by Figure 13 and Figure 14 For example, the control device 130 controls the carrier device 110 and the imaging device 130 to scan and capture images column by column C1-C4 within the first target area 20, obtaining first target cell images M in columns C1-C4. The first target cell images M in each column are captured at the same position in the application direction, and the number of first target cell images M in each column is the same. Here, it is assumed that the first target cell images M in column C1 are captured at position X1 in the application direction, the first target cell images M in column C2 are captured at position X2 in the application direction, the first target cell images M in column C3 are captured at position X3 in the application direction, and the first target cell images M in column C4 are captured at position X4 in the application direction.

[0092] The platelet count in the first target cell image M in column C1 is counted, and the platelet count corresponding to the shooting position X1 in column C1 is calculated. For example, platelets in each first target cell image in column C1 are identified, and the total number of identified platelets, Sum1, is taken as the platelet count corresponding to the shooting position X1 in column C1. It is understood that in some embodiments, other statistics can be used instead of the platelet count corresponding to the shooting position X1 in column C1, such as the average platelet count, Sum1 / n (where n is the number of first target cell images in column C1). In other embodiments, all cells in each first target cell image in column C1 can be identified, and the total number of identified cells, Sum2, can be counted. In this case, instead of the platelet count corresponding to the shooting position X1 in column C1, platelet concentration = total platelet count Sum1 / total cell count Sum2 can be used.

[0093] Similarly, the number of platelets in the first target cell image M in columns C2, C3, and C4 is counted, and the number of platelets corresponding to the shooting positions X2, X3, and X4 in columns C2, C3, and C4 is calculated.

[0094] Then, the distribution data of the first target area can be obtained. This distribution data consists of the shooting positions X1, X2, X3, and X4 in the smear direction and their corresponding platelet counts. When the first target area includes the entire blood membrane and the first target area is photographed without intervals, the actual platelet distribution information of the blood membrane is the distribution data of the first target area. When the first target area only includes a part of the blood membrane or the first target area is photographed with intervals, the actual platelet distribution information of the blood membrane is the fitted curve or fitted function obtained by fitting the distribution data of the first target area.

[0095] In some embodiments, the image analysis device 140 is further configured to: correct the actual platelet distribution information of the blood membrane based on a preset function to obtain the ideal platelet distribution information of the blood membrane. Here, the ideal platelet distribution information of the blood membrane is the platelet distribution assuming that the blood sample to be tested does not have abnormal platelet aggregation.

[0096] Preferably, when the blood sample to be tested is a platelet aggregation sample, the actual platelet distribution information of the blood membrane is corrected based on the preset function to obtain the ideal platelet distribution information of the blood membrane.

[0097] Because in normal blood samples, the platelet count in the blood membrane decreases uniformly from head to tail, while in blood samples with platelet aggregation, the platelets in the blood membrane are more concentrated in the tail, in some embodiments, the actual platelet distribution information of the blood membrane can be corrected based on a linear function to conform to the distribution of a normal sample, thus obtaining the ideal platelet distribution information of the blood membrane.

[0098] As one implementation method, the actual platelet distribution information of the blood membrane can be corrected based on the total number of platelets in the actual platelet distribution information of the blood membrane.

[0099] For example, such as Figure 15 As shown, the actual platelet distribution information is presented as a curve with the position along the smear direction as the abscissa and the number of platelets as the ordinate. At this time, the image analysis device 140 corrects the actual platelet distribution information of the blood membrane based on a preset function to obtain ideal platelet distribution information of the blood membrane. This includes correcting the actual platelet distribution curve based on the area enclosed by the actual platelet distribution curve and the abscissa (i.e., the total number of platelets in the actual platelet distribution information) and the preset function to obtain the ideal platelet distribution curve as the ideal platelet distribution information of the blood membrane. Figure 15 In the example shown, the green dashed line represents the ideal platelet distribution curve.

[0100] Preferably, the area enclosed by the actual platelet distribution curve and the horizontal axis is approximately equal to the area enclosed by the ideal platelet distribution curve and the horizontal axis.

[0101] In a specific example, the image analysis device 140 can correct the actual platelet distribution curve based on a linear function to obtain the ideal platelet distribution curve in the following manner:

[0102] Estimate the total number of platelets (T) in the entire blood film based on the actual platelet distribution information of the blood film; and

[0103] The actual platelet distribution information is corrected using the total platelet count T and the linear function y = k*x + b. This linear function is the ideal platelet distribution curve. The method is to calculate the values ​​of k and b by combining the following equations (1) and (2):

[0104] Total platelet count T = (b / k) * (b / 2) ... (1),

[0105] Blood film length = b / k……(2).

[0106] In some examples, when the first target region includes the entire blood membrane and the first target region is captured without intervals, the actual platelet distribution information of the blood membrane is the distribution data of the first target region. In this case, the total number of platelets T in the entire blood membrane is the sum of the platelets identified in all the first target cell images.

[0107] In other examples, when the first target region includes only a portion of the blood membrane or when the first target region is photographed at intervals, the actual platelet distribution information of the blood membrane is a fitted curve or function obtained by fitting the distribution data of the first target region. In this case, the total number of platelets T in the entire blood membrane is the area enclosed by the fitted curve and the horizontal axis, such as... Figures 8 to 11 As shown.

[0108] The application of the actual platelet distribution information provided in the embodiments of this application is described below with reference to some examples.

[0109] In some embodiments, the image analysis device 140 is further configured to: in a first counting mode, determine whether the blood sample to be tested is a platelet aggregation sample based on the actual platelet distribution information of the blood membrane.

[0110] As one implementation, the image processing device 140 determines whether the blood sample to be tested is a platelet aggregation sample based on the actual platelet distribution information of the blood film, including: determining whether the blood sample to be tested is a platelet aggregation sample based on the changing trend of the number of platelets at multiple locations along the smearing direction in the actual platelet distribution information of the blood film. Optionally, an alarm prompt is also output to indicate that the blood sample to be tested is a platelet aggregation sample.

[0111] For example, if analysis of actual platelet distribution information indicates that there are more platelets in the tail region than in the head region, or that the number of platelets increases from the body to the tail, then the blood sample to be tested may be a platelet aggregation sample.

[0112] In other embodiments, the image analysis device 140 is also used to: in a first counting mode, obtain the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood membrane.

[0113] In some other embodiments, the image analysis device 140 is further configured to: in a first counting mode, determine whether the blood sample to be tested is a platelet aggregation sample based on the actual platelet distribution information of the blood membrane, and obtain the platelet count of the blood sample to be tested based on the actual platelet distribution information.

[0114] As one implementation, the image analysis device 140 obtains the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood membrane, which may include: calculating the platelet count of the blood sample to be tested based on the sum of the number of platelets in the actual platelet distribution information of the blood membrane.

[0115] In other words, the image analysis device 140 is configured to estimate the total number T of platelets in the entire blood film based on the actual platelet distribution information of the blood film, and to calculate the platelet count of the blood sample to be tested based on the total platelet count T. For example, the total platelet count T can be multiplied by a coefficient k to obtain the platelet count of the blood sample to be tested = T*k. Here, k can be set fixedly or can be set by the amount of blood dropped when preparing the blood smear.

[0116] In some examples, when the first target region includes the entire blood membrane and the first target region is captured without intervals, the actual platelet distribution information of the blood membrane is the distribution data of the first target region. In this case, the total number of platelets T in the entire blood membrane is the sum of the platelets identified in all the first target cell images.

[0117] In other examples, when the first target region includes only a portion of the blood membrane or when the first target region is photographed at intervals, the actual platelet distribution information of the blood membrane is a fitted curve or function obtained by fitting the distribution data of the first target region. In this case, the total number of platelets T in the entire blood membrane is the area enclosed by the fitted curve and the horizontal axis, such as... Figures 8 to 11 As shown.

[0118] In some other implementations, the image analysis device 140 obtains the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film, which may include: obtaining the position of the counting region of the blood film in the smearing direction; obtaining the number of platelets in the counting region based on the position of the counting region in the smearing direction and the actual platelet distribution information of the blood film; and calculating the platelet count of the blood sample to be tested based on the number of platelets in the counting region.

[0119] In other words, a specific area on the blood membrane, namely the counting area, is selected. The number of platelets in the counting area is obtained by using the position of the counting area on the blood membrane along the smear direction and the actual platelet distribution information of the blood membrane, so as to calculate the platelet count of the blood sample to be tested.

[0120] As another implementation, the image analysis device 140 obtains the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood membrane. This may include: correcting the actual platelet distribution information of the blood membrane, for example, by correcting the actual platelet distribution information of the blood membrane based on a preset function or a preferred linear function as described above, to obtain the ideal platelet distribution information of the blood membrane; obtaining the position of the counting region of the blood membrane in the smearing direction; obtaining the platelet count of the counting region based on the position of the counting region in the smearing direction and the ideal platelet distribution information of the blood membrane; and calculating the platelet count of the blood sample to be tested based on the platelet count of the counting region. This implementation is particularly applicable when the blood sample to be tested is an abnormal sample, especially a platelet-aggregated sample. This avoids inaccurate platelet counts in the counting region due to sample abnormalities.

[0121] Preferably, the counting region is located in a monolayer of cells where the cells of the blood membrane are evenly distributed.

[0122] Optionally, when the blood sample to be tested is a platelet aggregation sample, the actual platelet distribution information of the blood membrane is corrected to obtain the ideal platelet distribution information of the blood membrane.

[0123] Furthermore, the counting region can be photographed to obtain an image of the counted cells in the counting region, thereby calculating the platelet count of the blood sample to be tested based on the image of the counted cells and the platelet count in the counting region. That is, the control device 130 is also used to: control the blood smear 1 on the carrier device 110 to move relative to the imaging device 120 so that multiple shooting points in the counting region of the blood film are respectively located in the field of view of the imaging device 120, and control the imaging device 120 to capture images of the shooting points in the counting region within its field of view to obtain the counted cell images of the shooting points in the counting region. Accordingly, the image processing device 140 obtains the platelet count in the counting region based on the position of the counting region in the smear direction and the actual or ideal platelet distribution information of the blood film, and calculates the platelet count of the blood sample to be tested based on the platelet count in the counting region. This includes: obtaining the platelet count in the counting region based on the shooting position of the counting cell image in the smear direction and the actual or ideal platelet distribution information of the blood film, and calculating the platelet count of the blood sample to be tested based on the counting cell image and the platelet count in the counting region. In particular, when the blood sample is a platelet aggregation sample, the actual platelet distribution information is first corrected to the ideal platelet distribution information, and then the platelet count in the counting region under ideal conditions (assuming no platelet aggregation) is found in the ideal platelet distribution information according to the position of the counting region. Further, the platelet count of the blood sample to be tested is obtained by multiplying the platelet count of the counting region under ideal conditions by a preset coefficient.

[0124] In some embodiments, the image processing device 140 calculates the platelet count of the blood sample to be tested based on the counted cell image and the platelet count in the counted region, including: identifying the number of reference cells and preferably the number of red blood cells in the counted cell image, and calculating the platelet count of the blood sample to be tested based on the number of reference cells and the platelet count in the counted region.

[0125] In a specific example, according to Figure 13 and 14 The illustrated embodiment captures images column by column in the first target imaging region, with each column containing N images of the first target cells. The selected counting region is located in a monolayer of cells where the blood membrane is uniformly distributed, such as... Figure 15 As shown by the red dot. Based on Figure 15The described embodiment corrects the actual platelet distribution curve to obtain an ideal platelet distribution curve. Based on the position of the counting region in the smear direction, the platelet count in that region can be obtained from the corrected ideal distribution curve. Then, the platelet count p = T / N in each image of the counting region is calculated. Ten images of the counting region are captured, and the total number of red blood cells r in these ten images is counted. The corrected total platelet count p' = p * 10 in these ten images is then calculated. The platelet concentration p' / r in the counting region can then be obtained. Next, the red blood cell count R of the blood sample to be tested can be obtained from the hematology analyzer, and the corrected platelet count P = p' / r * R.

[0126] In some other implementations, the image processing device 140 calculates the platelet count of the blood sample to be tested based on the platelet count in the counting region, including multiplying the platelet count in the counting region by a preset coefficient to calculate the platelet count of the blood sample to be tested.

[0127] In other words, it is possible to obtain the platelet count by directly multiplying the platelet count in the counting area by a coefficient without taking a picture of the counting area, i.e., platelet count P = p' * k.

[0128] In some embodiments, the control device 130 is further configured to: in a second counting mode, control the blood smear on the carrier device 110 to move relative to the imaging device 120, so that multiple imaging points in the second target region of the blood membrane are respectively located in the field of view of the imaging device, and control the imaging device to capture images of the imaging points in its field of view to obtain second target cell images of the imaging points in the second target region, wherein the second target region is located in a monolayer cell region where cells are evenly distributed in the blood membrane. Accordingly, the image analysis device 140 is further configured to: in the second counting mode, identify platelets in multiple images of the second target cells, and calculate the platelet count of the blood sample to be tested based on the total number of identified platelets; and in the first counting mode, calculate the platelet count of the blood sample to be tested based on the actual platelet distribution information.

[0129] As some implementations, the control device 130 and the image analysis device 140 are also configured to execute the first counting mode when at least one of the following conditions is met:

[0130] Abnormalities in platelets or no platelets were detected in the prior image analysis of blood smears by the cell image analyzer;

[0131] The system acquires a platelet abnormality alarm from the blood sample to be tested, such as a platelet aggregation alarm from the hematology analyzer; and

[0132] The platelet count of the blood sample to be tested, calculated in the second counting mode, is lower than a preset threshold.

[0133] This application also proposes a sample analysis system 200, such as... Figure 16 As shown, the sample analysis system 200 includes a blood cell analyzer 210, a smear preparation instrument 220, a cell image analyzer 230, and a processor 240.

[0134] A blood cell analyzer 210 is used to classify and count cells in a blood sample to be tested. A smear preparation device 220 is used to prepare a blood smear from the blood sample to be tested by smearing a portion of the blood sample onto a glass slide along a smearing direction to form a blood film, the blood film including a head, body, and tail portion adjacent to each other along the smearing direction. A cell image analyzer 230 is used to capture images of multiple points in a target region of the blood film to obtain target cell images of the captured points, wherein the target region includes at least a portion of platelet aggregation areas, preferably including at least a portion of the tail portion of the blood film. A processor 240 is used to acquire and identify platelets in multiple target cell images, and based on the platelets identified in the multiple target cell images and the capture positions of the multiple target cell images in the smearing direction, acquire actual platelet distribution information of the blood film, the actual platelet distribution information of the blood film characterizing the relationship between multiple different positions of the blood film along the smearing direction and their respective corresponding platelet counts.

[0135] like Figure 16 As shown, the sample analysis system 200 also includes a first transport device 250 and a second transport device 260. The first transport device 250 is used to transport the blood sample to be tested to the smear preparation instrument 220, and the second transport device 260 is used to transport the blood smear to the cell image analyzer 230.

[0136] In this embodiment of the application, the blood cell analyzer 210 is used to perform a complete blood count (CBC) test on the blood sample to be tested, in order to obtain the test results of CBC parameters. The CBC parameters include at least one of the following parameters: WBC, RBC, PLT, HGB, MCV, RDWCV, MCH, FRC%, NEU%, LYM%, MON%, EOS%, BASO%, EU#, LYM#, MON#, EOS#, BASO#, NRBC%, NRBC#, IMG%, IMG#, HFC%, HFC#, primitive cell alarm, platelet aggregation alarm, platelet histogram abnormality alarm, erythrocyte agglutination alarm, erythrocyte histogram abnormality alarm, erythrocyte bimodality alarm, and anti-lysed erythrocyte alarm.

[0137] In some embodiments, the first transport device 250 is designed as a first transport track, and the second transport device 260 is designed as a second transport track. The first transport track is used to transport a test tube rack 30, which can hold multiple test tubes 31 loaded with samples to be tested, from the blood cell analyzer 210 to the smear preparation instrument 220. The second transport track is used to transport a slide basket 40, which can hold multiple prepared smears 1, from the smear preparation instrument 220 to the cell image analyzer 230.

[0138] In some embodiments, the sample analysis system 200 further includes feeding mechanisms 170 and 180 respectively corresponding to the blood cell analyzer 210 and the smear preparation device 220. Feeding mechanism 170 includes a loading buffer 171, a feeding detection area 172, and an unloading buffer 173. Feeding mechanism 180 includes a loading buffer 181, a feeding detection area 182, and an unloading buffer 183.

[0139] When the blood sample to be tested on the test tube rack 30 needs to be transported to the blood cell analyzer 210 for testing, the test tube rack 30 is first transported to the loading buffer area 171 via the first transport track, and then from the loading buffer area 171 to the feed detection area 172 for testing by the blood cell analyzer 210. 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 into the first transport track.

[0140] Similarly, when a blood sample on the test tube rack 30 needs to be examined under a microscope, the test tube rack 30 is first transported to the smear preparation instrument 220 to prepare a smear of the blood sample. The test tube rack 30 is first transported from the first transfer track to the loading buffer area 181, and then from the loading buffer area 181 to the feed detection area 182 where the smear preparation instrument 220 prepares the smear of the blood sample. 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 to the first transfer track. The smear preparation instrument 220 stores the prepared smear in the slide basket 40, and transports the slide basket 40 containing the smear to be tested to the cell image analyzer 230 via the second transfer track. The cell image analyzer 230 captures images of the cells in the sample on the smear and analyzes them.

[0141] In some embodiments, such as Figure 16 As shown, the processor 240 can be integrated into a computer system that is communicatively connected to the blood cell analyzer 210, the smear preparation instrument 220, and the cell image analyzer 230.

[0142] In other embodiments, processor 240 may also be integrated into one of blood cell analyzer 210, smear preparation instrument 220 and cell image analyzer 230, especially into cell image analyzer 230.

[0143] In some embodiments, the processor 240 acquires actual platelet distribution information of the blood film, including:

[0144] Based on the platelets identified in the multiple target cell images and the shooting positions of the multiple target cell images in the application direction, the distribution data of the target region is obtained. The distribution data of the target region includes multiple shooting positions of the target region along the application direction and the number of platelets at each shooting position. Based on the distribution data of the target region, the actual platelet distribution information of the blood membrane is obtained.

[0145] In some embodiments, obtaining the actual platelet distribution information of the blood membrane based on the distribution data of the target region includes:

[0146] The distribution data of the target region is fitted to obtain fitted distribution data of the target region; and

[0147] The actual platelet distribution information of the blood membrane is obtained by fitting the distribution data of the target region.

[0148] In some embodiments, the processor 240 is further configured to: obtain the platelet count of the blood sample to be tested based on the actual platelet distribution information, and / or determine whether the blood sample to be tested is a platelet aggregation sample based on the actual platelet distribution information.

[0149] In some embodiments, the processor 240 obtains the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film, including: obtaining the position of the counting region of the blood film in the smearing direction; obtaining the number of platelets in the counting region based on the position of the counting region in the smearing direction and the actual platelet distribution information of the blood film; and calculating the platelet count of the blood sample to be tested based on the number of platelets in the counting region.

[0150] In other embodiments, the processor 240 obtains the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood membrane, including: correcting the actual platelet distribution information of the blood membrane to obtain ideal platelet distribution information of the blood membrane; obtaining the position of the counting region of the blood membrane in the smearing direction; obtaining the platelet count of the counting region based on the position of the counting region in the smearing direction and the ideal platelet distribution information of the blood membrane; and calculating the platelet count of the blood sample to be tested based on the platelet count of the counting region.

[0151] Preferably, the counting region is located in a monolayer of cells in which the cells of the blood membrane are evenly distributed.

[0152] Optionally, when the blood sample to be tested is a platelet aggregation sample, the actual platelet distribution information of the blood membrane is corrected to obtain the ideal platelet distribution information of the blood membrane.

[0153] As some implementations, the processor 240 acquires the position of the counting region of the blood membrane in the smear direction, acquires the platelet count of the counting region of the blood membrane based on the position of the counting region in the smear direction and the ideal platelet distribution information of the blood membrane, and calculates the platelet count of the blood sample to be tested based on the platelet count of the counting region, including: acquiring counting cell images of multiple shooting points in the counting region of the blood membrane and their shooting positions; acquiring the platelet count of the counting region based on the shooting positions of the counting cell images in the smear direction and the ideal platelet distribution information of the blood membrane; and calculating the platelet count of the blood sample to be tested based on the counting cell images and the platelet count of the counting region; preferably, the image analyzer calculates the platelet count of the blood sample to be tested based on the counting cell images and the platelet count of the counting region, including: identifying the number of reference cells and preferably the number of red blood cells in the counting cell images, and calculating the platelet count of the blood sample to be tested based on the number of reference cells and the platelet count of the counting region.

[0154] In some other implementations, the processor 240 calculates the platelet count of the blood sample to be tested based on the platelet count in the counting region, including multiplying the platelet count in the counting region by a preset coefficient to calculate the platelet count of the blood sample to be tested.

[0155] In some embodiments, the processor 240 is further configured to: correct the actual platelet distribution information of the blood membrane based on a preset function or a preferred linear function to obtain the ideal platelet distribution information of the blood membrane.

[0156] Furthermore, the actual platelet distribution information is presented as a platelet distribution curve with the position along the smear direction as the abscissa and the platelet count as the ordinate. The image analyzer is further configured to: correct the actual platelet distribution curve based on the area enclosed by the actual platelet distribution curve and the abscissa, and the preset function, to obtain an ideal platelet distribution curve as the ideal platelet distribution information of the blood membrane. Preferably, the area enclosed by the actual platelet distribution curve and the abscissa is approximately equal to the area enclosed by the ideal platelet distribution curve and the abscissa.

[0157] In some embodiments, the target region includes all regions of the blood membrane. In other embodiments, the target region includes only a portion of the blood membrane, preferably including the tail of the blood membrane and at least a portion of the body of the blood membrane.

[0158] In some embodiments, the processor 240 obtains actual platelet distribution information of the blood membrane based on platelets identified in the plurality of target cell images and the shooting positions of the plurality of target cell images in the application direction, including: counting the number of platelets in the target cell images with the same shooting position in the application direction to obtain the number of platelets corresponding to the shooting position, and obtaining actual platelet distribution information of the blood membrane based on the shooting positions of the plurality of target cell images in the application direction and the number of platelets corresponding to the shooting position.

[0159] Further embodiments and advantages of the sample analysis system 200 can be found in the above description of the cell image analyzer 100. The various embodiments described in connection with the cell image analyzer 100 are also applicable to the sample analysis system 200.

[0160] This application also provides a cell image analysis method 300, such as... Figure 17 As shown, method 300 includes:

[0161] S310, a blood smear is prepared from a blood sample to be tested by smearing a portion of the blood sample to be tested onto a glass slide along the smearing direction to form a blood film, wherein the blood film includes a head, a body and a tail that are adjacent to each other along the smearing direction.

[0162] S320, multiple imaging points in the target area of ​​the blood membrane are captured to obtain target cell images of the imaging points, wherein the target area includes at least a portion of the tail of the blood membrane;

[0163] S330, identify platelets in multiple images of the target cells;

[0164] S340, based on the platelets identified in the multiple target cell images and the shooting positions of the multiple target cell images in the application direction, the actual platelet distribution information of the blood membrane is obtained. This actual platelet distribution information characterizes the relationship between multiple different positions of the blood membrane along the application direction and their corresponding platelet counts.

[0165] S350, obtain the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood membrane.

[0166] In some embodiments, step S350 of obtaining the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood membrane includes: obtaining the position of the counting region of the blood membrane in the smear direction, obtaining the platelet count of the counting region of the blood membrane based on the position of the counting region in the smear direction and the actual platelet distribution information, and calculating the platelet count of the blood sample to be tested based on the platelet count of the counting region.

[0167] In other embodiments, step S350 of obtaining the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood membrane includes: correcting the actual platelet distribution information of the blood membrane to obtain the ideal platelet distribution information of the blood membrane; obtaining the position of the counting region of the blood membrane in the smearing direction; obtaining the number of platelets in the counting region of the blood membrane based on the position of the counting region in the smearing direction and the ideal platelet distribution information of the blood membrane; and calculating the platelet count of the blood sample to be tested based on the number of platelets in the counting region.

[0168] Preferably, the counting region is located in a monolayer of cells in which the cells of the blood membrane are evenly distributed.

[0169] Optionally, when the blood sample to be tested is a platelet aggregation sample, the actual platelet distribution information of the blood membrane is corrected to obtain the ideal platelet distribution information of the blood membrane.

[0170] As some implementation methods, the position of the counting region of the blood film in the smear direction is obtained; the platelet count of the counting region of the blood film is obtained based on the position of the counting region in the smear direction and the ideal platelet distribution information of the blood film; and the platelet count of the blood sample to be tested is calculated based on the platelet count of the counting region, including:

[0171] Acquire images of counted cells at multiple imaging points within the counting region of the blood membrane, along with their imaging locations;

[0172] The platelet count in the counting region is obtained based on the image capture location in the smear direction and the ideal platelet distribution information of the blood film; and

[0173] The platelet count of the blood sample to be tested is calculated based on the counted cell image and the platelet count in the counted region.

[0174] In some embodiments, step S350 of obtaining the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood membrane includes: correcting the actual platelet distribution information of the blood membrane based on a preset function and a preferred linear function to obtain the ideal platelet distribution information of the blood membrane; and obtaining the platelet count of the blood sample to be tested based on the ideal platelet distribution information of the blood membrane.

[0175] Preferably, the actual platelet distribution information is presented as a platelet distribution curve with the position along the smear direction as the abscissa and the platelet count as the ordinate. The actual platelet distribution curve is corrected based on the area enclosed by the actual platelet distribution curve and the abscissa, and a preset function, to obtain an ideal platelet distribution curve as the ideal platelet distribution information. Specifically, the area enclosed by the actual platelet distribution curve and the abscissa is approximately equal to the area enclosed by the ideal platelet distribution curve and the abscissa.

[0176] Further embodiments and advantages of the cell image analysis method 300 can be found in the above description of the cell image analyzer 100. The various embodiments described in connection with the cell image analyzer 100 are also applicable to the cell image analysis method 300.

[0177] This application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements one of the above-described methods.

[0178] Furthermore, those skilled in the art should understand that the modules or steps of the embodiments of this application can be implemented using general-purpose computing devices. These general-purpose computing devices typically include a processor and a memory, the memory being used to store instructions. When the processor executes the instructions, the instructions cause the computing device to perform the steps or program modules of the embodiments of this application.

[0179] In this embodiment, the processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0180] In the embodiments of this application, the memory is used to store computer programs or instructions, and the memory can be: volatile memory, such as random access memory (RAM); or non-volatile memory, such as read-only memory (ROM), flash memory, hard disk drive (HDD) or solid-state drive (SSD); or a combination of the above types of memory.

[0181] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, embodiments of this application can take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of this application can take the form of computer program products implemented on one or more computer-usable storage media (including disk storage and optical storage, etc.) containing computer-usable program code.

[0182] This application describes embodiments of methods, apparatus (systems), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program operations. These computer program operations can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that operations performed by the processor of the computer or other programmable data processing device produce implementations in the flowchart. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0183] These computer program operations may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to operate in a particular manner, such that the operations stored in the computer-readable storage medium produce an article of manufacture including an operating device, the operating device being implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0184] These computer program operations can also be loaded onto a computer or other programmable data processing equipment, causing a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing the operations performed on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0185] All features or combinations of features mentioned above in the specification, drawings, and claims may be used in any combination or individually, provided they are meaningful within the scope of this application and do not contradict each other. The advantages and features described in the cell image analyzer provided with reference to the embodiments of this application are applicable in a corresponding manner to the methods, computer-readable storage media, and systems provided with the embodiments of this application, and vice versa.

[0186] The above description is merely a preferred embodiment of this application and does not limit the patent scope of this application. All equivalent modifications made based on the inventive concept of this application and the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included within the patent protection scope of this application.

Claims

1. A cell image analyzer, comprising: an imaging device configured to capture cell images; a carrying device configured to carry a blood smear, the blood smear having a blood film applied thereon, the blood film being formed by smearing a blood sample to be tested on a slide along a smearing direction, the blood film comprising, in sequence along the smearing direction, a head portion, a body portion and a tail portion which are adjacent to each other; a control device configured to, in a first counting mode, control the blood smear on the carrying device to move relatively to the imaging device so that a plurality of capturing points in a first target region of the blood film are located in a field of view of the imaging device respectively, and control the imaging device to capture images of the capturing points in the field of view to obtain first target cell images of the plurality of capturing points in the first target region, wherein the first target region comprises at least part of a platelet aggregation region, preferably at least part of the tail portion of the blood film; and an image analysis device configured to, in the first counting mode, identify platelets in a plurality of the first target cell images, and obtain actual platelet distribution information of the blood film based on the platelets identified in the plurality of first target cell images and capturing positions of the plurality of first target cell images in the smearing direction, the actual platelet distribution information of the blood film representing a relationship between a plurality of different positions of the blood film along the smearing direction and respective platelet quantities corresponding to the plurality of different positions. The image analysis device is further configured to, in the first counting mode, obtain a platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film and / or determine whether the blood sample to be tested is a platelet aggregation sample based on the actual platelet distribution information of the blood film.

2. The cellular image analyzer of claim 1, wherein, The image analysis device obtains the actual platelet distribution information of the blood film by: obtaining distribution data of the first target region based on the platelets identified in the plurality of first target cell images and the capturing positions of the plurality of first target cell images in the smearing direction, the distribution data of the first target region comprising a plurality of capturing positions of the first target region along the smearing direction and platelet quantities at the respective capturing positions, and obtaining the actual platelet distribution information of the blood film based on the distribution data of the first target region.

3. The cellular image analyzer of claim 2, wherein, The image analysis device obtains the actual platelet distribution information of the blood film based on the distribution data of the first target region by: fitting the distribution data of the first target region to obtain fitted distribution data of the first target region; and obtaining the actual platelet distribution information of the blood film based on the fitted distribution data of the first target region.

4. The cellular image analyzer of any one of claims 1 to 3, wherein, The image analysis device obtains the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film by:

5. The cellular image analyzer of any one of claims 1 to 3, wherein, calculating the platelet count of the blood sample to be tested based on a sum of platelet quantities in the actual platelet distribution information of the blood film. The image analysis device obtains the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film by: acquire a position of a counting area of the blood film in the smearing direction; acquire a platelet quantity of the counting area based on the position of the counting area in the smearing direction and the actual platelet distribution information of the blood film; and calculate the platelet count of the blood sample to be tested based on the platelet quantity of the counting area. Preferably, the counting area is located in a single cell layer area of the blood film where cells are uniformly distributed.

6. The cellular image analyzer of any one of claims 1 to 3, wherein, The image analysis device acquires the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film, including: correcting the actual platelet distribution information of the blood film to obtain ideal platelet distribution information of the blood film; acquire a position of a counting area of the blood film in the smearing direction; acquire a platelet quantity of the counting area based on the position of the counting area in the smearing direction and the ideal platelet distribution information of the blood film; and calculate the platelet count of the blood sample to be tested based on the platelet quantity of the counting area. Preferably, the counting area is located in a single cell layer area of the blood film where cells are uniformly distributed. Optionally, when the blood sample to be tested is a platelet aggregation sample, the actual platelet distribution information of the blood film is corrected to obtain the ideal platelet distribution information of the blood film.

7. The cell image analyzer of claim 6, wherein, The control device is further configured to: control the blood smear on the bearing device to relatively move with the imaging device, so that a plurality of shooting points in the counting area of the blood film are located in the field of view of the imaging device, and control the imaging device to capture images of the shooting points in the counting area in the field of view, to obtain counting cell images of the shooting points in the counting area; and The image processing device acquires the platelet quantity of the counting area based on the position of the counting area in the smearing direction and the ideal platelet distribution information of the blood film, and calculates the platelet count of the blood sample to be tested based on the platelet quantity of the counting area, including: acquiring the platelet quantity of the counting area based on the shooting position of the counting cell images in the smearing direction and the ideal platelet distribution information of the blood film, and calculating the platelet count of the blood sample to be tested based on the counting cell images and the platelet quantity of the counting area.

8. The cellular image analyzer of claim 7, wherein, The image processing device calculates the platelet count of the blood sample to be tested based on the platelet quantity of the counting area, including: identifying the quantity of reference cells, preferably red blood cells, in the counting cell images, and calculating the platelet count of the blood sample to be tested according to the quantity of reference cells and the platelet quantity of the counting area.

9. The cellular image analyzer of claim 5 or 6, wherein, The image processing device calculates the platelet count of the blood sample to be tested based on the platelet quantity of the counting area, including: multiplying the platelet quantity of the counting area by a preset coefficient to calculate the platelet count of the blood sample to be tested.

10. The cellular image analyzer of any one of claims 6 to 9, wherein, The image analysis device corrects the actual platelet distribution information of the blood film to obtain the ideal platelet distribution information of the blood film, including: The actual platelet distribution information of the blood film is corrected based on a preset function, preferably a linear function, to obtain ideal platelet distribution information of the blood film. Preferably, when the blood sample to be tested is a platelet aggregation sample, the actual platelet distribution information of the blood film is corrected based on the preset function to obtain ideal platelet distribution information of the blood film.

11. The cellular image analyzer of claim 10, wherein, The actual platelet distribution information is in the form of an actual platelet distribution curve with positions along the smearing direction as the abscissa and platelet quantities as the ordinate. The image analysis device corrects the actual platelet distribution information of the blood film based on a preset function, preferably a linear function, to obtain ideal platelet distribution information of the blood film, including correcting the actual platelet distribution curve based on the area enclosed by the actual platelet distribution curve and the abscissa and the preset function to obtain an ideal platelet distribution curve as the ideal platelet distribution information of the blood film. Preferably, the area enclosed by the actual platelet distribution curve and the abscissa is approximately equal to the area enclosed by the ideal platelet distribution curve and the abscissa.

12. The cellular image analyzer of any one of claims 1 to 3, wherein, The image processing device determines whether the blood sample to be tested is a platelet aggregation sample based on the actual platelet distribution information of the blood film, including determining whether the blood sample to be tested is a platelet aggregation sample based on the variation trend of platelet quantities at multiple positions along the smearing direction in the actual platelet distribution information.

13. The cellular image analyzer of any one of claims 1 to 12, wherein, The first target region includes all regions of the blood film; or The first target region only includes at least a part of the blood film, preferably including the tail of the blood film and at least a part of the body of the blood film.

14. The cellular image analyzer of any one of claims 1 to 13, wherein, The image processing device obtains the actual platelet distribution information of the blood film based on the platelets identified in the multiple first target cell images and the shooting positions of the multiple first target cell images in the smearing direction, including: counting the number of platelets in the first target cell images having the same shooting position in the smearing direction to obtain the platelet quantity corresponding to the shooting position, and obtaining the actual platelet distribution information of the blood film based on the shooting positions of the multiple first target cell images in the smearing direction and the platelet quantities corresponding to the shooting positions.

15. The cellular image analyzer of any one of claims 1 to 14, wherein, The control device is further configured to, in the first counting mode, control the blood smear on the bearing device to continuously move relative to the imaging device so that the shooting points in the first target region of the blood film are located in the field of view of the imaging device, and control the imaging device to continuously take images of the shooting points in the field of view during the continuous relative movement of the blood smear relative to the imaging device to obtain the first target cell images in the first target region.

16. The cellular image analyzer of any one of claims 1 to 15, wherein, the control device is further configured to control the relative movement between the blood smear on the bearing device and the imaging device in the second counting mode, so that a plurality of shooting points in a second target area of the blood film are located in the field of view of the imaging device respectively, and control the imaging device to take images of the shooting points in the field of view to obtain second target cell images of the shooting points in the second target area, wherein the second target area is located in a single-layer cell area with uniform cell distribution of the blood film; the image analysis device is further configured to identify platelets in a plurality of the second target cell images in the second counting mode, and calculate the platelet count of the blood sample under test based on the total number of the identified platelets; and the image analysis device is further configured to calculate the platelet count of the blood sample under test based on the actual platelet distribution information of the blood film in the first counting mode.

17. The cellular image analyzer of claim 16, wherein, the control device and the image analysis device are further configured to execute the first counting mode when at least one of the following conditions is met: abnormal platelets or no platelets are identified in the prior image analysis of the blood smear by the cell image analyzer; an abnormal platelet alarm of the blood sample under test is obtained; and the platelet count of the blood sample under test calculated in the second counting mode is lower than a preset threshold.

18. A sample analysis system, comprising: a blood cell analyzer configured to classify and count cells in a blood sample under test; a smear preparation instrument configured to prepare a blood smear from the blood sample under test in such a way that a portion of the blood sample under test is smeared on a slide in a smearing direction to form a blood film, the blood film including a head portion, a body portion and a tail portion in sequence and adjacent to each other along the smearing direction; and a cell image analyzer configured to take a plurality of shooting points in a target area of the blood film to obtain target cell images of the shooting points, wherein the target area includes at least part of a platelet aggregation area, and preferably includes at least part of the tail portion of the blood film; a processor configured to obtain and identify platelets in a plurality of the target cell images, and obtain actual platelet distribution information of the blood film based on the platelets identified in the plurality of target cell images and the shooting positions of the plurality of target cell images in the smearing direction, the actual platelet distribution information of the blood film representing the relationship between a plurality of different positions of the blood film along the smearing direction and their respective platelet quantities; wherein the processor is further configured to obtain the platelet count of the blood sample under test based on the actual platelet distribution information of the blood film, and / or determine whether the blood sample under test is a platelet aggregation sample based on the actual platelet distribution information of the blood film.

19. The sample analysis system of claim 18, wherein, the processor obtains the actual platelet distribution information of the blood film by: The processor obtains distribution data of the target region based on the platelets recognized in the plurality of target cell images and the positions of the plurality of target cell images in the smearing direction, the distribution data of the target region including a plurality of positions of the target region in the smearing direction and the number of platelets at each position, and obtains actual platelet distribution information of the blood film based on the distribution data of the target region. Preferably, the processor obtains the actual platelet distribution information of the blood film based on the distribution data of the target region, including: fitting the distribution data of the target region to obtain fitted distribution data of the target region; and obtaining the actual platelet distribution information of the blood film based on the fitted distribution data of the target region.

20. The sample analysis system of claim 19, wherein, The processor obtains the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film, including: obtaining the position of a counting region of the blood film in the smearing direction; obtaining the number of platelets of the counting region based on the position of the counting region in the smearing direction and the actual platelet distribution information of the blood film; and calculating the platelet count of the blood sample to be tested based on the number of platelets of the counting region. Preferably, the counting region is located in a single-layer cell region of the blood film where cells are uniformly distributed.

21. The sample analysis system of claim 19, wherein, The processor obtains the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film, including: correcting the actual platelet distribution information of the blood film to obtain ideal platelet distribution information of the blood film; obtaining the position of a counting region of the blood film in the smearing direction; obtaining the number of platelets of the counting region based on the position of the counting region in the smearing direction and the ideal platelet distribution information of the blood film; and calculating the platelet count of the blood sample to be tested based on the number of platelets of the counting region. Preferably, the counting region is located in a single-layer cell region of the blood film where cells are uniformly distributed. Optionally, when the blood sample to be tested is a platelet aggregation sample, the actual platelet distribution information of the blood film is corrected to obtain the ideal platelet distribution information of the blood film.

22. The sample analysis system of claim 21, wherein, The processor obtains the position of the counting area of the blood film in the smearing direction, obtains the platelet quantity of the counting area of the blood film based on the position of the counting area in the smearing direction and ideal platelet distribution information of the blood film, and calculates the platelet count of the blood sample to be tested based on the platelet quantity of the counting area, including: obtaining counting cell images of multiple shooting points in the counting area of the blood film and their shooting positions; obtaining the platelet quantity of the counting area based on the shooting positions of the counting cell images in the smearing direction and ideal platelet distribution information of the blood film; and calculating the platelet count of the blood sample to be tested according to the counting cell images and the platelet quantity of the counting area; preferably, the image analyzer calculates the platelet count of the blood sample to be tested based on the counting cell images and the platelet quantity of the counting area, including: identifying the quantity of reference cells, preferably the quantity of red blood cells, in the counting cell images, and calculating the platelet count of the blood sample to be tested according to the quantity of reference cells and the platelet quantity of the counting area; or The processor calculates the platelet count of the blood sample to be tested based on the platelet quantity of the counting area, including: multiplying the platelet quantity of the counting area by a preset coefficient to calculate the platelet count of the blood sample to be tested.

23. The sample analysis system of any one of claims 20-22, wherein, The processor is further configured to correct the actual platelet distribution information of the blood film based on a preset function, preferably a linear function, to obtain ideal platelet distribution information of the blood film; Preferably, the actual platelet distribution information is in the form of an actual platelet distribution curve with positions along the smearing direction as the abscissa and platelet quantities as the ordinate, and the image analyzer is further configured to correct the actual platelet distribution curve based on an area enclosed by the actual platelet distribution curve and the abscissa and the preset function to obtain an ideal platelet distribution curve as the ideal platelet distribution information of the blood film; Preferably, the area enclosed by the actual platelet distribution curve and the abscissa is approximately equal to the area enclosed by the ideal platelet distribution curve and the abscissa.

24. The sample analysis system of any one of claims 18 to 23, wherein, The target area includes all areas of the blood film; or The target area only includes at least a part of the blood film, preferably includes the tail part of the blood film and at least a part of the body part of the blood film.

25. The cellular image analyzer of any one of claims 18-24, wherein, The processor obtains the actual platelet distribution information of the blood film based on the platelets identified in the multiple target cell images and the shooting positions of the multiple target cell images in the smearing direction, including: counting the platelet quantity in the target cell images having the same shooting position in the smearing direction to obtain the platelet quantity corresponding to the shooting position, and obtaining the actual platelet distribution information of the blood film based on the shooting positions of the multiple target cell images in the smearing direction and the platelet quantities corresponding to the shooting positions.

26. A cell image analysis method, including: A blood smear is prepared from a blood sample to be tested by smearing a portion of the blood sample to be tested on a slide in a smearing direction to form a blood film, the blood film including, in order along the smearing direction, a head portion, a body portion and a tail portion which are adjacent to each other; A plurality of shooting points in a target region of the blood film are shot to obtain target cell images of the shooting points, wherein the target region at least includes at least a portion of the tail portion of the blood film; Platelets in a plurality of the target cell images are identified; Actual platelet distribution information of the blood film is obtained based on the platelets identified in the plurality of target cell images and shooting positions of the plurality of target cell images in the smearing direction, the actual platelet distribution information of the blood film representing a relationship between a plurality of different positions of the blood film along the smearing direction and respective corresponding platelet quantities thereof; and A platelet count of the blood sample to be tested is obtained based on the actual platelet distribution information of the blood film.

27. The method of claim 26, wherein, The platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film includes: A position of a counting region of the blood film in the smearing direction is obtained, a platelet quantity of the counting region of the blood film is obtained based on the position of the counting region in the smearing direction and the actual platelet distribution information of the blood film, and the platelet count of the blood sample to be tested is calculated based on the platelet quantity of the counting region; Preferably, the counting region is located in a single cell layer region of the blood film in which cells are uniformly distributed.

28. The method of claim 26, wherein, The platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film includes: The actual platelet distribution information of the blood film is corrected to obtain ideal platelet distribution information of the blood film, a position of a counting region of the blood film in the smearing direction is obtained, a platelet quantity of the counting region of the blood film is obtained based on the position of the counting region in the smearing direction and the ideal platelet distribution information of the blood film, and the platelet count of the blood sample to be tested is calculated based on the platelet quantity of the counting region; Preferably, the counting region is located in a single cell layer region of the blood film in which cells are uniformly distributed. Optionally, when the blood sample to be tested is a platelet aggregation sample, the actual platelet distribution information of the blood film is corrected to obtain ideal platelet distribution information of the blood film.

29. The method of claim 28, wherein, The platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film includes: Counting cell images of a plurality of shooting points in the counting region of the blood film and shooting positions thereof are obtained; The platelet quantity of the counting region is obtained based on the shooting positions of the counting cell images in the smearing direction and the ideal platelet distribution information of the blood film; and The platelet count of the blood sample to be tested is calculated based on the counting cell images and the platelet quantity of the counting region. The platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film includes: Counting cell images of a plurality of shooting points in the counting region of the blood film and shooting positions thereof are obtained; The platelet quantity of the counting region is obtained based on the shooting positions of the counting cell images in the smearing direction and the ideal platelet distribution information of the blood film; and The platelet count of the blood sample to be tested is calculated based on the counting cell images and the platelet quantity of the counting region.

30. The method of claim 26, wherein, acquiring the platelet count of the blood sample to be tested based on the actual platelet distribution information of the blood film, comprising: correcting the actual platelet distribution information of the blood film based on a preset function, preferably a linear function, to obtain ideal platelet distribution information of the blood film; and acquiring the platelet count of the blood sample to be tested based on the ideal platelet distribution information of the blood film; Preferably, the form of the actual platelet distribution information is an actual platelet distribution curve with the position along the smearing direction as the horizontal coordinate and the platelet quantity as the vertical coordinate, and the actual platelet distribution curve is corrected based on the area surrounded by the actual platelet distribution curve and the horizontal coordinate and the preset function to obtain an ideal platelet distribution curve as the ideal platelet distribution information of the blood film. Preferably, the area surrounded by the actual platelet distribution curve and the horizontal coordinate is approximately equal to the area surrounded by the ideal platelet distribution curve and the horizontal coordinate.

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