WO2021114090A1

WO2021114090A1 - Cell image analysis device and camera installation parallelism checking method

Info

Publication number: WO2021114090A1
Application number: PCT/CN2019/124317
Authority: WO
Inventors: 李德云; 姜斌; 周浩明; 邓亮
Original assignee: 深圳迈瑞生物医疗电子股份有限公司
Priority date: 2019-12-10
Filing date: 2019-12-10
Publication date: 2021-06-17
Also published as: CN114747198B; CN114747198A

Abstract

A cell image analysis device and a method. The device comprises: an object-bearing platform (10) for bearing a slide coated with a sample; a camera (20) for capturing a cell image of the sample on the slide; and a processor (30) for controlling the object-bearing platform (10) to move in a first direction, such that the slide reaches different relative positions relative to the camera (20), wherein the processor (30) is further used for controlling the camera (20) to acquire, at the different relative positions, different image fields of view of the same target point on the slide; and the processor (30) determines the parallelism of the installation of the camera (20) according to the coordinate positions of the target point in the different image fields of view. The device can automatically determine the parallelism of the installation of the camera (20), thereby providing a determination basis for subsequent calibration of the parallelism of the installation of the camera (20).

Description

Cell image analysis device and camera installation parallelism checking method

Technical field

The present application relates to a cell image analysis device, in particular to a cell image analysis device capable of judging the parallelism of camera installation and a method for checking the parallelism of camera installation.

Background technique

The imaging system of the film reader instrument requires a relatively high accuracy for the parallelism between the camera and the actual slide. Traditional fixtures are used to guide the assembly of workers, which is inefficient and difficult to test the effect of the assembly.

Summary of the invention

The embodiment of the present application discloses a cell image analysis device and a camera installation parallelism verification method, which can determine the camera installation parallelism to solve the above-mentioned problems.

A cell image analysis device provided by an embodiment of the present application includes:

The loading platform is used to carry the glass slide coated with the sample;

A camera for taking cell images of the sample on the glass slide;

The processor is used to control the loading platform to move in the first direction, so that the glass slide reaches different relative positions with respect to the camera, and the processor is also used to control the camera to move in the different relative positions. Acquiring different image fields of view of the same target point on the glass slide by relative positions;

The processor judges the parallelism of the camera installation according to the coordinate positions of the target point in different image fields of view.

An embodiment of the present application provides a method for checking the parallelism of camera installation, which is applied to a cell image analysis device. The cell image analysis device includes a camera and a loading platform that can relatively move in a first direction, and the loading platform is used for For carrying a glass slide coated with a sample, the method includes:

Controlling the loading platform to move in a first direction, so that the glass slide reaches a different relative position with respect to the camera;

Controlling the camera to acquire different image fields of view of the same target point on the glass slide at the different relative positions; and

The parallelism of the camera installation is judged according to the coordinate positions of the target point in different image fields of view.

An embodiment of the present application provides a computer-readable storage medium, in which a number of program instructions are stored. After the several program instructions are invoked and executed by a processing unit, the method for performing the above-mentioned camera installation parallelism verification method is executed. step.

The cell image analysis device and camera installation parallelism verification method disclosed in the embodiments of the present application can control the movement of the loading platform in a first direction, so that the glass slide reaches different relative positions with respect to the camera, and Control the camera to obtain different image fields of view of the same target point on the slide at the different relative positions; and determine the parallelism of the camera installation according to the coordinate positions of the target point in the different image fields of view, which is the subsequent camera The calibration of installation parallelism provides a basis for judgment.

Description of the drawings

In order to more clearly describe the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative work, other drawings can be obtained from these drawings.

FIG. 1 is a schematic structural diagram of a cell image analysis device in an embodiment of the application.

FIG. 2 is a schematic diagram of the working process of the cell image analysis device in an embodiment of the application.

FIG. 3 is a schematic diagram of modules of a cell image analysis device in an embodiment of the application.

FIG. 4 is a schematic flowchart of a method for verifying camera installation parallelism in an embodiment of the application.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of this application.

The terms "first", "second", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific sequence. In addition, the term "including" and any variations of them are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes unlisted steps or units, or optionally also includes Other steps or units inherent to these processes, methods, products or equipment.

The subsequent description of the specification is a preferred embodiment for implementing the application, but the above description is for the purpose of explaining the general principles of the application and is not intended to limit the scope of the application. The protection scope of this application shall be subject to those defined by the appended claims.

Please refer to FIG. 1, which is a schematic structural diagram of a cell image analysis device 100 in an embodiment of the application. The cell image analysis device 100 has the function of automatically verifying the parallelism of the camera installation. After the parallelism of the camera installation is qualified, the shooting and analysis of the sample cell image can be performed more accurately. The cell image analysis device 100 includes a loading platform 10 and a camera 20. The loading platform 10 is located below the camera 20. The loading platform 10 is used to carry a glass slide 200 coated with a sample. The loading platform 10 is connected to a driving member 101. It can be understood that the driving member 101 may be, but is not limited to, a stepping motor. The driving member 101 drives the loading platform 10 to move in the first direction X (stepping movement), thereby driving the glass slide 200 to move in the first direction X relative to the camera 20. The camera 20 is used to take cell images of the sample on the glass slide 200 to obtain an image field of view.

Please refer to FIG. 1 and FIG. 2 together. For the convenience of description, a three-axis coordinate system is defined. The three-axis coordinate system includes a first direction X, a second direction Y, and a third direction Z. In one of the embodiments, the first direction X is the X-axis direction, that is, the direction in which the driving member 101 drives the loading platform 10 to move; the second direction Y is the Y-axis direction, and the first direction Y is the Y-axis direction. The two directions Y and the first direction X are on the same horizontal plane, and they are perpendicular to each other; the third direction Z is the Z-axis direction, and is perpendicular to the first direction X and the second direction Y, respectively .

Please also refer to FIG. 3, which is a schematic diagram of modules of the cell image analysis apparatus 100 in an embodiment of the application. The cell image analysis device 100 further includes a processor 30 and a memory 40. The loading platform 10, the camera 20 and the memory 40 are electrically connected to the processor 30 respectively.

The processor 30 is configured to control the driving member 101 to drive the loading platform 10 to move in the first direction X, so that the slide glass 200 reaches different relative positions with respect to the camera 20. The processor 30 is also configured to control the camera 20 to acquire different image fields of view of the same target point T on the glass slide 200 at the different relative positions. The processor 30 judges the installation parallelism of the camera 20 according to the coordinate positions of the target point T in different image fields of view.

Please refer to FIG. 2 again. The target point T is a cell that has obvious features and is easily distinguishable in the image field of view of the camera 20 determined manually or automatically by a machine, so that it is not easy to cause misidentification.

Wherein, the installation parallelism of the camera 20 refers to the relative parallelism between the camera 20 and the glass slide 200, that is, when the camera 20 is along a fixed direction relative to the glass slide 200, for example, the first One direction X is the parallelism between the camera 20 and the glass slide 200 when moving.

Therefore, in the present application, the processor 30 judges the installation parallelism of the camera 20 according to the coordinate positions of the target point T in different image fields of view, and provides a judgment basis for the subsequent calibration of the camera installation parallelism.

In actual use, the distance between the camera 20 and the loading platform 10 in the third direction Z remains unchanged. Therefore, when the camera 20 and the loading platform 10 move relative to each other in the first direction X The size of the field of view of the multiple images including the target point T captured by the camera 20 remains unchanged, but the relative position of the target point T in different image fields of view may change. Therefore, in one of the embodiments, the processor 30 is used to control the loading platform 10 to move along the first direction X, so that the slide glass 200 reaches at least a first relative position and relative to the camera 20. The second relative position; the processor 30 is also used to control the camera 20 to obtain the first image field of view P1 of the target point at the first relative position, and to obtain the target point at the second relative position T's second image field of view P2. The processor 30 determines the parallelism of the installation of the camera 20 according to the coordinate position of the target point T in the first image field of view P1 and the coordinate position of the second image field of view P2.

Therefore, in the present application, the processor 30 determines the installation parallelism of the camera 20 according to the coordinate position of the target point T in the first image field of view P1 and the coordinate position of the second image field of view P2, which is The subsequent calibration of camera installation parallelism provides a basis for judgment.

In one of the embodiments, the coordinate position of the target point T in the first image field of view P1 is (x1, y1), and the coordinate position of the target point T in the second image field of view P2 is ( x2, y2), wherein the difference between x2 and x1 is the moving distance in the first direction for the loading platform 10 to move the slide 200 from the first relative position to the second relative position; y2 and The difference of y1 is the moving distance in the second direction when the target point T is moved from the first relative position to the second relative position; the processor 30 is used to move the target point T from the first relative position to the second relative position; The movement distance in the second direction determines the installation parallelism of the camera 20.

Specifically, in one of the embodiments, as shown in FIGS. 1 and 2, the driving member 101 drives the loading platform 10 to move along the first direction X by a predetermined distance, for example, two steps, the The processor 30 controls the camera 20 to obtain the first image field of view P1 of the same target point T on the glass slide 200 at the position, and determines the coordinate position of the target point T in the first image field of view P1 Is (x1, y1). The driving member 101 continues to drive the loading platform 10 to move along the first direction X for a predetermined distance, for example, two steps, and the processor 30 controls the camera 20 to obtain the glass at the position. The second image field of view P2 of the same target point T on the slice 200 is determined, and the coordinate position of the target point T in the second image field of view P2 is determined to be (x2, y2). The processor 30 determines the moving distance in the first direction (x2-x1) according to the coordinate position of the target point T in the first image field of view P1 and the coordinate position of the target point T in the second image field of view P2. And the second direction movement distance (y2-y1), and the parallelism of the installation of the camera 20 is judged according to the second direction movement distance (y2-y1), or according to the first direction movement distance (x2-x1 ) And the moving distance in the second direction (y2-y1) to determine the installation parallelism of the camera 20. For example, the camera installation parallelism is judged according to the value of y2-y1. If the difference (y2-y1) is less than or equal to the preset threshold, for example, y2-y1 is 0, it means that the camera installation parallelism is qualified; if this difference is If the value (y2-y1) is greater than the preset threshold, it indicates that the camera installation parallelism check fails.

Please refer to FIG. 3 again. In one of the embodiments, the cell image analysis device 100 further includes a display unit 50 electrically connected to the processor 30. The display unit 50 may be, but is not limited to, a display, a display screen, or the like. When the moving distance in the second direction is less than or equal to the preset threshold, it indicates that the camera 20 is parallel to the slide 200, and the processor 30 controls the display unit 50 to output a display indicating the parallelism of the installation of the camera 20 Information of successful verification.

In one of the embodiments, when the moving distance in the second direction is greater than a preset threshold, the camera 20 is not parallel to the slide 200 on the surface, and the processor 30 controls the display unit 50 to output 20 The installation parallelism verification failed message.

In one of the embodiments, the cell image analysis device 100 further includes an adjustment unit 60 electrically connected to the processor 30. It can be understood that the adjustment unit 60 may be, but is not limited to, a driving motor. The processor 30 is used to control the adjustment unit 60 to automatically adjust the installation parallelism of the camera 20. The adjustment is accurate and the degree of automation is high.

In one of the embodiments, the processor 30 further calculates the deviation angle of the camera 20 according to the moving distance in the first direction and the moving distance in the second direction. The processor 30 is configured to control the adjustment unit 60 to automatically adjust the installation parallelism of the camera 20 according to the deviation angle. The adjustment is accurate and the degree of automation is high.

Optionally, in other embodiments, in one of the embodiments, the processor 30 is further configured to calculate the second target point T in the different field of view images according to the coordinate position of the target point T in the different field of view images. The direction deviation rate, and the installation parallelism of the camera 20 is determined based on the deviation rate.

In one of the embodiments, the deviation rate is equal to the ratio of the cumulative deviation value in the second direction to the cumulative deviation value in the first direction.

Specifically, in one of the embodiments, the driving member 101 drives the loading platform 10 to move along the first direction X by a predetermined distance per cycle, for example, two steps per cycle, and the processor 30 controls all The camera 20 obtains the image field of view of the same target point T on the glass slide 200 at the relative position, and repeats this, and then obtains the coordinate position of the target point in the first image field of view P1 at (x1, y1), the second The coordinate position (x2, y2) of the image field of view P2, the coordinate position (x3, y3) of the third image field of view, and the coordinate position (x4, y4) of the fourth image field of view. The processor 30 calculates the cumulative deviation value in the first direction as (x2-x1)+(x3-x2)+(x4-x3), and calculates the cumulative deviation value in the second direction as (y2-y1)+(y3-y2) )+(y4-y3). Wherein, the deviation rate is equal to the ratio of the cumulative deviation value in the second direction to the cumulative deviation value in the first direction.

Therefore, the present application can calculate the deviation rate based on the cumulative deviation value in the first direction and the cumulative deviation value in the second direction, and determine the installation parallelism of the camera 20 based on the deviation rate.

It can be understood that, in other embodiments, the deviation rate is also equal to the ratio of the cumulative deviation value in the second direction to the number of statistics.

Specifically, in one of the embodiments, the driving member 101 drives the loading platform 10 to move along the first direction X by a predetermined distance per cycle, for example, two steps per cycle, and the processor 30 controls all The camera 20 obtains the image field of view of the same target point T on the glass slide 200 at the relative position, and repeats this, and then obtains the coordinate position of the target point in the first image field of view P1 at (x1, y1), the second The coordinate position (x2, y2) of the image field of view P2, the coordinate position (x3, y3) of the third image field of view, and the coordinate position (x4, y4) of the fourth image field of view. The cumulative deviation value in the second direction divided by 3 is the average deviation rate in the second direction.

Therefore, the present application can determine the installation parallelism of the camera 20 based on the average deviation rate in the second direction and based on the average deviation rate.

It can be understood that the magnification of the camera 20 is relatively large, for example, 100 times. Therefore, even if the driving member 101 drives the loading platform 10 to move in the first direction X for multiple cycles, there will be no search. Less than the target point T.

In one of the embodiments, when the deviation rate is less than or equal to a preset threshold, the processor 30 indicates that the camera 20 is parallel to the glass slide 200, and controls the display unit 50 to output an output indicating that the camera 20 is installed in parallel Information of successful sexual verification.

In one of the embodiments, when the deviation rate is greater than the preset threshold, the processor 30 indicates that the camera 20 is not parallel to the glass slide 200, and controls the display unit 50 to output an output indicating the parallelism of the installation of the camera 20 Validation failed information.

In one of the embodiments, the processor 30 also calculates the deviation angle of the camera 20 according to the deviation rate. The processor 30 is configured to control the adjustment unit 60 to automatically adjust the installation parallelism of the camera 20 according to the deviation angle. The adjustment is accurate and the degree of automation is high.

Please also refer to FIG. 4, which is a schematic flowchart of a method for verifying camera installation parallelism in an embodiment of the application. The camera installation parallelism verification method is applied to a cell image analysis device 100. The cell image analysis device 100 includes a camera 20 that can move relatively along a first direction X and a loading platform 10, and the loading platform 10 is used for Carry the glass slide 200 coated with the sample. The execution sequence of the camera installation parallelism verification method is not limited to the sequence shown in FIG. 4. Specifically, the camera installation parallelism verification method includes the following steps:

Step 41: Control the loading platform 10 to move along the first direction X, so that the slide glass 200 reaches different relative positions with respect to the camera 20.

Step 42: Control the camera 20 to acquire different image fields of view of the same target point T of the slide glass 200 at the different relative positions.

Step 43: Judging the installation parallelism of the camera 20 according to the coordinate positions of the target point T in different image fields of view.

In one of the embodiments, "controlling the loading platform 10 to move in the first direction X so that the slide glass 200 reaches a different relative position with respect to the camera 20" includes:

Controlling the loading platform 10 to move along the first direction X so that the slide glass 200 reaches at least a first relative position and a second relative position relative to the camera 20;

"Controlling the camera 20 to acquire different image fields of view of the same target point T of the slide glass 200 at the different relative positions" includes:

Controlling the camera 20 to obtain a first image field of view of the target point T at the first relative position, and obtain a second image field of view of the target point T at the second relative position;

"Judging the installation parallelism of the camera 20 according to the coordinate positions of the target point T in different image fields of view" includes:

The installation parallelism of the camera 20 is determined according to the coordinate position of the target point T in the first image field of view and the coordinate position of the second image field of view.

Therefore, in the present application, the processor 30 determines the installation parallelism of the camera 20 according to the coordinate position of the target point T in the first image field of view and the coordinate position of the second image field of view, which is the subsequent camera The calibration of installation parallelism provides a basis for judgment.

In one of the embodiments, the coordinate position of the target point T in the first image field of view is (x1, y1), and the coordinate position of the target point T in the second image field of view is (x2, y2), the difference between x2 and x1 is the moving distance (x2-x1) in the first direction for the loading platform 10 to move the slide 200 from the first relative position to the second relative position (x2-x1); y2 The difference between y1 and y1 is the moving distance in the second direction (y2-y1) when the target point T is moved from the first relative position to the second relative position; "according to the target point T in the second relative position Judging the installation parallelism of the camera 20 by the coordinate position of an image field of view and the coordinate position of the second image field of view includes:

Judging the installation parallelism of the camera 20 according to the moving distance in the first direction (x2-x1) and the moving distance in the second direction (y2-y1); or, according to the moving distance in the second direction (y2-y1) ) Determine the installation parallelism of the camera 20.

In one of the embodiments, the camera installation parallelism verification method further includes the steps:

When the moving distance in the second direction is less than or equal to the preset threshold, it indicates that the camera 20 is parallel to the glass slide 200, and the display unit 50 is controlled to output and display information indicating that the parallelism of the camera 20 is successfully installed. .

When the moving distance in the second direction is greater than a preset threshold, it appears that the camera 20 is not parallel to the glass slide 200, and the display unit 50 is controlled to output information indicating that the camera 20 has failed to be installed in parallelism verification.

The adjustment unit 60 is controlled to automatically adjust the installation parallelism of the camera 20.

In one of the embodiments, controlling the adjustment unit 60 to automatically adjust the installation parallelism of the camera 20 includes:

Calculating the deviation angle of the camera 20 according to the moving distance in the first direction and the moving distance in the second direction;

The adjustment unit 60 is controlled to automatically adjust the installation parallelism of the camera 20 according to the deviation angle.

Optionally, in other embodiments, "determining the installation parallelism of the camera 20 according to the coordinate positions of the target point T in different image fields of view" includes the steps:

The deviation rate of the target point T in the second direction in the different field of view images is calculated according to the coordinate positions of the target point T in different image fields of view, and the installation parallelism of the camera 20 is determined according to the deviation rate.

Specifically, in one of the embodiments, the driving member 101 drives the loading platform 10 to move along the first direction X by a predetermined distance per cycle, for example, two steps per cycle, and the processor 30 controls all The camera 20 obtains the image field of view of the same target point T on the glass slide 200 at the relative position, and repeats this, and then obtains the coordinate position of the target point in the first image field of view P1 at (x1, y1), the second The coordinate position (x2, y2) of the image field of view P2, the coordinate position (x3, y3) of the third image field of view, and the coordinate position (x4, y4) of the fourth image field of view. The processor 30 calculates the cumulative deviation value in the first direction as (x2-x1)+(x3-x2)+(x4-x3), and calculates the cumulative deviation value in the second direction as (y2-y1)+(y3-y2) )+(y4-y3). The deviation rate is equal to the ratio of the cumulative deviation value in the second direction to the cumulative deviation value in the first direction.

Optionally, in other embodiments, the deviation rate is also equal to the ratio of the cumulative deviation value in the second direction to the number of statistics.

When the deviation rate is less than or equal to the preset threshold, it indicates that the camera 20 is parallel to the glass slide 200, and the display unit 50 is controlled to output information indicating that the parallelism of the camera 20 is successfully installed.

When the deviation rate is greater than a preset threshold, it indicates that the camera 20 is not parallel to the glass slide 200, and the display unit 50 is controlled to output information indicating that the camera 20 has failed to be installed in parallel.

Calculating the deviation angle of the camera 20 according to the deviation rate; and

It should be noted that the processor 30 may be a central processing unit (Central Processing Unit, CPU), or other general processing units, digital signal processing units (Digital Signal Processor, DSP), and application specific integrated circuits (Application Specific Integrated Circuits). Circuit, ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processing unit may be a micro-processing unit or the general-purpose processing unit may also be any conventional processing unit, etc. The processor 30 is the control center of the cell image analysis device 100 and is connected by various interfaces and lines. All parts of the cell image analysis device 100. The memory 40 may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), and a Secure Digital (SD) Card, Flash Card, multiple disk storage devices, flash memory devices, or other volatile solid-state storage devices. In some embodiments, a number of program instructions are stored in the memory, and the program instructions can be called by the processor 30 to perform the aforementioned functions.

In some embodiments, the present invention also provides a computer-readable storage medium. The computer-readable storage medium stores a number of program instructions. After the program instructions are invoked and executed by the processor 30, they execute FIG. 6 -7, so as to control the driving member 101 to drive the loading platform 10 to move in the first direction X, so that the slide glass 200 reaches different relative positions with respect to the camera 20; Control the camera 20 to acquire different image fields of view of the same target point T on the slide glass 200 at the different relative positions; and determine the camera 20 according to the coordinate positions of the target point T in different image fields of view Installation parallelism. In some embodiments, the computer storage medium is the memory 40, which can be any storage device capable of storing information, such as a memory card, a solid-state memory, a micro hard disk, and an optical disk.

The embodiments of the application are described in detail above, and specific examples are used in this article to illustrate the principles and embodiments of the application. The descriptions of the above embodiments are only used to help understand the methods and core ideas of the application; at the same time, for Those of ordinary skill in the art, based on the ideas of the present application, will have changes in the specific embodiments and application scope. In summary, the content of this specification should not be construed as limiting the present application.

Claims

A cell image analysis device, including:

The loading platform is used to carry the glass slide coated with the sample;

A camera for taking cell images of the sample on the glass slide;

The processor is used to control the loading platform to move in the first direction, so that the glass slide reaches different relative positions with respect to the camera, and the processor is also used to control the camera to move in the different relative positions. Acquiring different image fields of view of the same target point on the glass slide by relative positions;

The processor judges the parallelism of the camera installation according to the coordinate positions of the target point in different image fields of view.
The cell image analysis device according to claim 1, wherein the processor is configured to control the loading platform to move in a first direction, so that the glass slide reaches at least a first relative position relative to the camera. And a second relative position; the processor is further configured to control the camera to obtain a first image field of view of the target point at the first relative position, and obtain a first image field of the target point at the second relative position Two image field of view, the processor judges the parallelism of the camera installation according to the coordinate position of the target point in the first image field of view and the coordinate position of the second image field of view.
The cell image analysis device according to claim 2, wherein the coordinate position of the target point in the first image field of view is (x1, y1), and the target point is in the second image field of view The coordinate position of is (x2, y2), and the difference between x2 and x1 is the moving distance in the first direction for the loading platform to move the slide from the first relative position to the second relative position; y2 The difference between y1 and y1 is the movement distance in the second direction when the target point is moved from the first relative position to the second relative position; The two-direction movement distance determines the parallelism of the camera installation, or the second direction movement distance judges the parallelism of the camera installation.
The cell image analysis device according to claim 3, wherein the cell image analysis device further comprises a display unit electrically connected to the processor, and when the moving distance in the second direction is less than or equal to a preset The processor controls the display unit to output information indicating that the camera installation parallelism verification is successful; or, when the movement distance in the second direction is greater than a preset threshold, the processor controls the display The unit outputs information indicating that the camera installation parallelism verification failed.
The cell image analysis device according to claim 1, wherein the processor is further configured to calculate the deviation rate of the target point in the second direction in the different field of view images according to the coordinate position of the target point in the different field of view images , And judge the parallelism of the camera installation according to the deviation rate.
The cell image analysis device according to claim 5, wherein the deviation rate is equal to the ratio of the cumulative deviation value in the second direction to the cumulative deviation value in the first direction.
The cell image analysis device according to claim 5, wherein the deviation rate is equal to the ratio of the cumulative deviation value in the second direction to the number of statistics.
The cell image analysis device according to any one of claims 5 to 7, wherein the cell image analysis device further comprises a display unit, and the processor controls when the deviation rate is less than or equal to a preset threshold The display unit outputs information indicating that the camera installation parallelism verification is successful.
8. The cell image analysis device according to claim 8, wherein when the deviation rate is greater than a preset threshold, the processor controls the display unit to output information indicating that the camera installation parallelism verification has failed.
The cell image analysis device according to claim 9, wherein the cell image analysis device further comprises an adjustment unit electrically connected to the processor, and the processor is used to control the adjustment when the verification fails. The unit automatically adjusts the installation parallelism of the camera.
A method for checking the parallelism of camera installation, applied to a cell image analysis device. The cell image analysis device includes a camera and a loading platform that can move relatively along a first direction, and the loading platform is used to carry samples coated with samples. A glass slide, characterized in that the method includes:

Controlling the loading platform to move in a first direction, so that the glass slide reaches a different relative position with respect to the camera;

Controlling the camera to acquire different image fields of view of the same target point on the glass slide at the different relative positions; and

The parallelism of the camera installation is judged according to the coordinate positions of the target point in different image fields of view.
The method according to claim 11, wherein "controlling the movement of the loading platform in a first direction so that the slide glass reaches a different relative position with respect to the camera" comprises:

Controlling the loading platform to move in a first direction, so that the glass slide reaches at least a first relative position and a second relative position with respect to the camera;

"Controlling the camera to acquire different image fields of view of the same target point on the glass slide at the different relative positions" includes:

Controlling the camera to obtain a first image field of view of the target point at the first relative position, and obtain a second image field of view of the target point at the second relative position;

"Judging the parallelism of the camera installation according to the coordinate positions of the target point in different image fields of view" includes:

The parallelism of the camera installation is determined according to the coordinate position of the target point in the first image field of view and the coordinate position of the second image field of view.
The method according to claim 12, wherein the coordinate position of the target point in the first image field of view is (x1, y1), and the coordinate position of the target point in the second image field of view Is (x2, y2), the difference between x2 and x1 is the moving distance in the first direction for the loading platform to move the slide from the first relative position to the second relative position; the difference between y2 and y1 The difference is the moving distance in the second direction when the target point is moved from the first relative position to the second relative position; "According to the coordinate position of the target point in the first image field of view and the first The coordinate position of the image field of view to determine the parallelism of the camera installation" includes:

Judging the parallelism of the camera installation according to the moving distance in the first direction and the moving distance in the second direction; or

The parallelism of the camera installation is judged according to the moving distance in the second direction.
The method according to claim 13, wherein the cell image analysis method further comprises the steps of:

When the moving distance in the second direction is less than or equal to the preset threshold, control to output information indicating that the camera installation parallelism verification is successful; or,

When the moving distance in the second direction is greater than the preset threshold, control to output information indicating that the camera installation parallelism verification has failed.
The method according to claim 11, wherein "judge the parallelism of the camera installation according to the coordinate positions of the target point in different image fields of view" comprises the steps:

According to the target point

Calculate the deviation rate of the target point in the second direction in different field of view images from the coordinate position in the same image field of view, and determine the parallelism of the camera installation according to the deviation rate.
The method according to claim 15, wherein the deviation rate is equal to the ratio of the cumulative deviation value in the second direction to the cumulative deviation value in the first direction.
The method according to claim 15, wherein the deviation rate is equal to the ratio of the cumulative deviation value in the second direction to the number of statistics.
The method according to any one of claims 15 to 17, wherein the cell image analysis method further comprises the steps:

When the deviation rate is less than or equal to the preset threshold, the control outputs information indicating that the camera installation parallelism verification is successful.
The method according to claim 18, wherein the cell image analysis method further comprises the steps of:

When the deviation rate is greater than the preset threshold, the control outputs information indicating that the camera installation parallelism verification has failed.
The method according to claim 19, characterized in that it further comprises the steps of:

When the verification fails, the control automatically adjusts the installation parallelism of the camera.
A computer-readable storage medium in which a number of program instructions are stored. After the program instructions are invoked and executed by a processing unit, the steps according to any one of claims 11 to 20 are executed.