CN114747198B - Cell image analysis device and camera installation parallelism verification method - Google Patents
Cell image analysis device and camera installation parallelism verification method Download PDFInfo
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Abstract
A cell image analysis apparatus and method, wherein the apparatus comprises: a carrier platform (10) for carrying a slide smeared with a sample; a camera (20) for taking a cell image of a sample on the slide; -a processor (30) for controlling the movement of the slide platform (10) in a first direction to bring the slide to different relative positions with respect to the camera (20), the processor (30) being further for controlling the camera (20) to acquire different image views of the same target point on the slide at the different relative positions; the processor (30) determines parallelism of the camera (20) mounting based on the coordinate positions of the target point in different image fields of view. The device can automatically judge the parallelism of the installation of the camera (20), and provides a judgment basis for the calibration of the parallelism of the installation of the subsequent camera (20).
Description
Technical Field
The present invention relates to a cell image analysis device, and more particularly, to a cell image analysis device capable of determining camera mounting parallelism and a camera mounting parallelism verification method.
Background
The imaging system of the reader instrument has higher accuracy required for the parallelism between the camera and the actual slide, and the traditional clamp is used for guiding workers to assemble, so that the efficiency is low and the assembling effect is difficult to test.
Disclosure of Invention
The embodiment of the application discloses a cell image analysis device and a camera installation parallelism verification method, which can judge the camera installation parallelism so as to solve the problems.
The embodiment of the application provides a cell image analysis device, includes:
the carrying platform is used for carrying a slide smeared with a sample;
a camera for taking a cell image of a sample on the slide;
the processor is used for controlling the carrying platform to move along a first direction so as to enable the slide to reach different relative positions relative to the camera, and is also used for controlling the camera to acquire different image fields of view of the same target point on the slide at the different relative positions;
and the processor judges the parallelism of the camera installation according to the coordinate positions of the target points in different image fields.
The embodiment of the application provides a camera installation parallelism verification method, is applied to cell image analysis device, cell image analysis device includes camera and the year thing platform that can follow the relative movement of first direction, year thing platform is used for bearing the slide that is smeared with the sample, the method includes:
controlling the slide platform to move along a first direction so that the slide reaches different relative positions relative to the camera;
controlling the camera to acquire different image fields of view of the same target point on the slide at the different relative positions; and
and judging the parallelism of the camera installation according to the coordinate positions of the target points in different image fields.
The embodiment of the application provides a computer readable storage medium, in which a plurality of program instructions are stored, and after the program instructions are called and executed by a processing unit, the steps of the camera installation parallelism checking method are executed.
According to the cell image analysis device and the camera installation parallelism verification method disclosed by the embodiment of the application, the object carrying platform can be controlled to move along the first direction so as to enable the slide to reach different relative positions relative to the camera, and the camera is controlled to acquire different image fields of view of the same target point on the slide at the different relative positions; and judging the parallelism of the camera installation according to the coordinate positions of the target points in different image fields, and providing a judgment basis for the calibration of the parallelism of the subsequent camera installation.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of a cell image analysis apparatus according to an embodiment of the present application.
Fig. 2 is a schematic diagram illustrating an operation of the cell image analysis apparatus according to an embodiment of the present application.
Fig. 3 is a schematic block diagram of a cell image analysis apparatus according to an embodiment of the present application.
Fig. 4 is a flowchart of a camera installation parallelism checking method according to an embodiment of the application.
Detailed Description
The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The terms first, second and the like in the description and in the claims of the present application and in the above-described figures, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the term "include" and any variations thereof is intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.
The description is then made of the preferred embodiments for carrying out the present application, although the above description is made for the purpose of illustrating the general principles of the present application and is not meant to limit the scope of the present application. The scope of the present application is defined by the appended claims.
Referring to fig. 1, fig. 1 is a schematic diagram illustrating a cell image analysis apparatus 100 according to an embodiment of the disclosure. The cell image analysis device 100 has a function of automatically checking the mounting parallelism of a camera, and can more accurately perform shooting and analysis of a sample cell image after the mounting parallelism of the camera is checked to be qualified. The cell image analysis device 100 includes a carrier platform 10 and a camera 20. The carrying platform 10 is located below the camera 20. The carrier platform 10 is for carrying a slide 200 smeared with a sample. The carrying platform 10 is connected to a driving element 101. It is understood that the driving member 101 may be, but is not limited to, a stepper motor. The driving member 101 drives the stage 10 to move (step-by-step) along the first direction X, so as to drive the slide 200 to move in the first direction X relative to the camera 20. The camera 20 is used to take a cell image of a sample on the slide 200 to obtain an image field of view.
Referring to fig. 1 and 2 together, for convenience of description, a three-axis coordinate system is defined, and the three-axis coordinate system includes a first direction X, a second direction Y, and a third direction Z. In one embodiment, the first direction X is an X-axis direction, that is, a direction in which the driving member 101 drives the carrying platform 10 to move; the second direction Y is the Y-axis direction, and is on the same horizontal plane with the first direction X and is perpendicular to the first direction X; the third direction Z is a Z-axis direction and is perpendicular to the first direction X and the second direction Y respectively.
Referring to fig. 3, fig. 3 is a schematic block diagram of a cell image analysis apparatus 100 according to an embodiment of the disclosure. The cell image analysis device 100 further includes a processor 30 and a memory 40. The carrying 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 stage 10 to move along the first direction X so as to enable the slide 200 to reach different relative positions with respect to the camera 20. The processor 30 is further configured to control the camera 20 to acquire different image views of the same target point T on the slide 200 at the different relative positions. The processor 30 determines the parallelism of the mounting of the camera 20 from the coordinate positions of the target point T in the different image fields of view.
Referring to fig. 2 again, the target point T is a cell with obvious characteristics and easy distinction in the image field of the camera 20, which is determined manually or automatically by a machine, so that erroneous recognition is not easy to be caused.
The mounting parallelism of the camera 20 refers to the relative parallelism between the camera 20 and the slide 200, i.e., the parallelism between the camera 20 and the slide 200 when the camera 20 moves in a fixed direction, for example, a first direction X, relative to the slide 200.
Thus, in the present application, the processor 30 determines the installation parallelism of the camera 20 according to the coordinate positions of the target point T in different image fields, and provides a basis for determining the calibration of the installation parallelism of the subsequent cameras.
In the actual use process, the distance between the camera 20 and the carrying platform 10 in the third direction Z is kept unchanged, so that when the camera 20 and the carrying platform 10 move relatively along the first direction X, the size of the multiple image fields including the target point T captured by the camera 20 remains unchanged, but the relative positions of the target point T in different image fields will change. Thus, in one embodiment, the processor 30 is configured to control the movement of the stage 10 in the first direction X to bring the slide 200 to at least a first relative position and a second relative position with respect to the camera 20; the processor 30 is further configured to control the camera 20 to acquire a first image view P1 of the target point at the first relative position and to acquire a second image view P2 of the target point T at the second relative position. The processor 30 determines parallelism of the mounting of the camera 20 based on 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, so as to provide a determination basis for the calibration of the installation parallelism of the subsequent cameras.
In one embodiment, the coordinate position of the target point T in the first image field of view P1 is (x 1, y 1), the coordinate position of the target point T in the second image field of view P2 is (x 2, y 2), wherein the difference between x2 and x1 is the first direction movement distance of the slide 200 from the first relative position to the second relative position by the stage 10; the difference between y2 and y1 is the second direction moving distance when the target point T is transferred from the first relative position to the second relative position; the processor 30 is configured to determine the mounting parallelism of the camera 20 according to the first direction moving distance and the second direction moving distance.
Specifically, in one embodiment, as shown in fig. 1 and 2, the driving element 101 drives the object carrying platform 10 to move along the first direction X by a preset distance, for example, two steps, and the processor 30 controls the camera 20 to acquire a first image view P1 of the same target point T on the slide 200 at the position, and determines that the coordinate position of the target point T in the first image view P1 is (X1, y 1). The driving part 101 continues to drive the motion of the object carrying platform 10 along the first direction X to move a preset distance, for example, two steps, and the processor 30 controls the camera 20 to acquire a second image field of view P2 of the same target point T on the slide 200 at the position, and determines that the coordinate position of the target point T in the second image field of view P2 is (X2, y 2). The processor 30 determines a first direction moving distance (x 2-x 1) and a second direction moving distance (y 2-y 1) according to the coordinate position of the target point T in the first image view P1 and the coordinate position of the target point T in the second image view P2, and determines the parallelism of the installation of the camera 20 according to the second direction moving distance (y 2-y 1) or determines the parallelism of the installation of the camera 20 according to the first direction moving distance (x 2-x 1) and the second direction moving distance (y 2-y 1). For example, judging the camera installation parallelism according to the value of y2-y1, and if the difference (y 2-y 1) is smaller than or equal to a preset threshold value, for example, y2-y1 is 0, indicating that the camera installation parallelism is qualified; if this difference (y 2-y 1) is greater than the preset threshold, it indicates that the camera mounting parallelism verification is not acceptable.
Referring to fig. 3 again, in one embodiment, 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 screen, etc. When the second direction moving distance is smaller than or equal to a preset threshold value, indicating that the camera 20 is parallel to the slide 200, the processor 30 controls the display unit 50 to output and display information indicating that the camera 20 is successfully mounted with the parallelism verification.
In one embodiment, when the second direction moving distance is greater than a preset threshold, the camera 20 is not parallel to the slide 200, and the processor 30 controls the display unit 50 to output information indicating that the camera 20 fails to install the parallelism verification.
In one embodiment, the cell image analysis device 100 further includes an adjustment unit 60 electrically connected to the processor 30. It is understood that the adjustment unit 60 may be, but is not limited to, a drive motor. The processor 30 is configured to control the adjusting unit 60 to automatically adjust the parallelism of the mounting of the camera 20. Accurate adjustment and high automation degree.
In one embodiment, the processor 30 further calculates the deviation angle of the camera 20 according to the first direction moving distance and the second direction moving distance. The processor 30 is configured to control the adjusting unit 60 to automatically adjust the parallelism of the installation of the camera 20 according to the deviation angle. Accurate adjustment and high automation degree.
Alternatively, in other embodiments, in one of the embodiments, the processor 30 is further configured to calculate a deviation rate of the target point T in the second direction in the different view images according to the coordinate positions of the target point T in the different view images, and determine the mounting parallelism of the camera 20 according to the deviation rate.
In one embodiment, the deviation ratio is equal to a ratio of the second direction cumulative deviation value to the first direction cumulative deviation value.
Specifically, in one embodiment, the driving element 101 drives the carrying platform 10 to move a preset distance along the first direction X every cycle, for example, two steps of each cycle, and the processor 30 controls the camera 20 to acquire the image view of the same target point T on the slide 200 at the relative position, so that the coordinate positions of the target point in the first image view P1 are (X1, y 1), the coordinate positions in the second image view P2 (X2, y 2), the coordinate positions in the third image view (X3, y 3) and the coordinate positions in the fourth image view (X4, y 4) are sequentially obtained. The processor 30 calculates the first direction cumulative offset value as (x 2-x 1) + (x 3-x 2) + (x 4-x 3) and the second direction cumulative offset value as (y 2-y 1) + (y 3-y 2) + (y 4-y 3). Wherein the deviation ratio is equal to the ratio of the second direction cumulative deviation value to the first direction cumulative deviation value.
Thus, the present application is able to calculate the deviation rate from the first direction cumulative deviation value and the second direction cumulative deviation value, and judge the mounting parallelism of the camera 20 from the deviation rate.
It will be appreciated that in other embodiments, the bias ratio is also equal to the ratio of the second direction cumulative bias value to the number of statistics.
Specifically, in one embodiment, the driving element 101 drives the carrying platform 10 to move a preset distance along the first direction X every cycle, for example, two steps of each cycle, and the processor 30 controls the camera 20 to acquire the image view of the same target point T on the slide 200 at the relative position, so that the coordinate positions of the target point in the first image view P1 are (X1, y 1), the coordinate positions in the second image view P2 (X2, y 2), the coordinate positions in the third image view (X3, y 3) and the coordinate positions in the fourth image view (X4, y 4) are sequentially obtained. Dividing the second direction accumulated deviation value by 3 to obtain the average deviation rate of the second direction.
Thus, the present application can determine the mounting parallelism of the camera 20 from the average deviation rate in the second direction and from the average deviation rate.
It will be appreciated that the magnification of the camera 20 is large, for example, 100 times, so that even if the driving member 101 drives the object carrying platform 10 to move for a plurality of periods along the first direction X, no object point T is found.
In one embodiment, the processor 30 controls the display unit 50 to output information indicating that the camera 20 is successfully mounted to the slide 200 when the deviation rate is less than or equal to a preset threshold value, indicating that the camera 20 is parallel to the slide 200.
In one embodiment, the processor 30 controls the display unit 50 to output information indicating that the camera 20 is not parallel to the slide 200 when the deviation rate is greater than a predetermined threshold, and the information indicates that the camera 20 is not parallel to the slide 200.
In one embodiment, the cell image analysis device 100 further includes an adjustment unit 60 electrically connected to the processor 30. It is understood that the adjustment unit 60 may be, but is not limited to, a drive motor. The processor 30 is configured to control the adjusting unit 60 to automatically adjust the parallelism of the mounting of the camera 20. Accurate adjustment and high automation degree.
In one embodiment, the processor 30 also calculates the deviation angle of the camera 20 based on the deviation rate. The processor 30 is configured to control the adjusting unit 60 to automatically adjust the parallelism of the installation of the camera 20 according to the deviation angle. Accurate adjustment and high automation degree.
Referring to fig. 4 together, fig. 4 is a flowchart illustrating a method for checking camera installation parallelism according to an embodiment of the present application. The camera mounting parallelism verification method is applied to the cell image analysis device 100, the cell image analysis device 100 comprises a camera 20 capable of relatively moving along a first direction X and a carrying platform 10, and the carrying platform 10 is used for carrying a slide 200 smeared with a sample. The execution order of the camera mounting parallelism checking method is not limited to the order shown in fig. 4. Specifically, the camera installation parallelism verification method comprises the following steps:
step 41: the stage 10 is controlled to move in a first direction X to bring the slide 200 to different relative positions with respect to the camera 20.
Step 42: the camera 20 is controlled to acquire different image views of the same target point T of the slide 200 at the different relative positions.
Step 43: the parallelism of the mounting of the camera 20 is judged according to the coordinate positions of the target point T in different image fields.
Thus, in the present application, the processor 30 determines the installation parallelism of the camera 20 according to the coordinate positions of the target point T in different image fields, and provides a basis for determining the calibration of the installation parallelism of the subsequent cameras.
In one embodiment, "controlling the stage 10 to move in the first direction X to bring the slide 200 to different relative positions with respect to the camera 20" includes:
controlling the stage 10 to move in a first direction X to bring the slide 200 to at least a first relative position and a second relative position with respect to the camera 20;
"controlling the camera 20 to acquire different image views of the same target point T of the slide 200 at the different relative positions" includes:
controlling the camera 20 to acquire a first image view of the target point T at the first relative position and a second image view of the target point T at the second relative position;
"judging the mounting parallelism of the camera 20 based on the coordinate positions of the target point T in different image fields of view" includes:
and judging the installation parallelism of the camera 20 according to the coordinate position of the target point T in the first image view field and the coordinate position of the second image view field.
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, so as to provide a determination basis for the calibration of the installation parallelism of the subsequent cameras.
In one embodiment, the coordinate position of the target point T in the first image field of view is (x 1, y 1), the coordinate position of the target point T in the second image field of view is (x 2, y 2), and the difference between x2 and x1 is the first direction movement distance (x 2-x 1) for the slide 200 to be moved from the first relative position to the second relative position by the stage 10; the difference between y2 and y1 is the second direction moving distance (y 2-y 1) when the target point T is transferred from the first relative position to the second relative position; "judging the mounting parallelism of the camera 20 based on 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" includes:
judging the mounting parallelism of the camera 20 according to the first direction moving distance (x 2-x 1) and the second direction moving distance (y 2-y 1); alternatively, the mounting parallelism of the camera 20 is judged based on the second direction moving distance (y 2-y 1).
In one embodiment, the camera installation parallelism checking method further includes the steps of:
when the second direction moving distance is smaller than or equal to a preset threshold value, the camera 20 is indicated to be parallel to the slide 200, and the display unit 50 is controlled to output and display information indicating that the camera 20 is successfully installed in the parallelism verification.
In one embodiment, the camera installation parallelism checking method further includes the steps of:
when the second direction moving distance is greater than a preset threshold value, the camera 20 is not parallel to the slide 200, and the display unit 50 is controlled to output information indicating that the camera 20 fails to mount parallelism verification.
In one embodiment, the camera installation parallelism checking method further includes the steps of:
the adjusting unit 60 is controlled to automatically adjust the mounting parallelism of the camera 20.
In one embodiment, controlling the adjusting unit 60 to automatically adjust the parallelism of the mounting of the camera 20 includes:
calculating a deviation angle of the camera 20 according to the first direction moving distance and the second direction moving distance;
the adjustment unit 60 is controlled to automatically adjust the mounting parallelism of the camera 20 according to the deviation angle.
Alternatively, in other embodiments, "judging the mounting parallelism of the camera 20 based on the coordinate positions of the target point T in different image fields of view" includes the steps of:
and calculating the deviation rate of the target point T in the second direction in the images of different fields of view according to the coordinate positions of the target point T in the fields of view of different images, and judging the installation parallelism of the camera 20 according to the deviation rate.
In one embodiment, the deviation ratio is equal to a ratio of the second direction cumulative deviation value to the first direction cumulative deviation value.
Specifically, in one embodiment, the driving element 101 drives the carrying platform 10 to move a preset distance along the first direction X every cycle, for example, two steps of each cycle, and the processor 30 controls the camera 20 to acquire the image view of the same target point T on the slide 200 at the relative position, so that the coordinate positions of the target point in the first image view P1 are (X1, y 1), the coordinate positions in the second image view P2 (X2, y 2), the coordinate positions in the third image view (X3, y 3) and the coordinate positions in the fourth image view (X4, y 4) are sequentially obtained. The processor 30 calculates the first direction cumulative offset value as (x 2-x 1) + (x 3-x 2) + (x 4-x 3) and the second direction cumulative offset value as (y 2-y 1) + (y 3-y 2) + (y 4-y 3). The deviation ratio is equal to the ratio of the second direction cumulative deviation value to the first direction cumulative deviation value.
Thus, the present application is able to calculate the deviation rate from the first direction cumulative deviation value and the second direction cumulative deviation value, and judge the mounting parallelism of the camera 20 from the deviation rate.
Alternatively, in other embodiments, the deviation ratio is also equal to a ratio of the second direction cumulative deviation value to the number of statistics.
Specifically, in one embodiment, the driving element 101 drives the carrying platform 10 to move a preset distance along the first direction X every cycle, for example, two steps of each cycle, and the processor 30 controls the camera 20 to acquire the image view of the same target point T on the slide 200 at the relative position, so that the coordinate positions of the target point in the first image view P1 are (X1, y 1), the coordinate positions in the second image view P2 (X2, y 2), the coordinate positions in the third image view (X3, y 3) and the coordinate positions in the fourth image view (X4, y 4) are sequentially obtained. Dividing the second direction accumulated deviation value by 3 to obtain the average deviation rate of the second direction.
Thus, the present application can determine the mounting parallelism of the camera 20 from the average deviation rate in the second direction and from the average deviation rate.
In one embodiment, the camera installation parallelism checking method further includes the steps of:
when the deviation rate is smaller than or equal to a preset threshold value, the camera 20 is indicated to be parallel relative to the slide 200, and the display unit 50 is controlled to output information indicating that the camera 20 is successfully installed in the parallelism verification.
In one embodiment, the camera installation parallelism checking method further includes the steps of:
when the deviation rate is greater than a preset threshold value, the camera 20 is not parallel to the slide 200, and the display unit 50 is controlled to output information indicating that the camera 20 fails to mount the parallelism verification.
In one embodiment, the camera installation parallelism checking method further includes the steps of:
the adjusting unit 60 is controlled to automatically adjust the mounting parallelism of the camera 20.
In one embodiment, controlling the adjusting unit 60 to automatically adjust the parallelism of the mounting of the camera 20 includes:
the adjusting unit 60 is controlled to automatically adjust the mounting parallelism of the camera 20.
Calculating a deviation angle of the camera 20 according to the deviation rate; and
The adjustment unit 60 is controlled to automatically adjust the mounting parallelism of the camera 20 according to the deviation angle.
It should be noted that the processor 30 may be a central processing unit (Central Processing Unit, CPU), other general purpose processing units, digital signal processing units (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field-programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general-purpose processing unit may be a micro-processing unit or the general-purpose processing unit may be any conventional processing unit or the like, and the processor 30 is a control center of the cell image analysis apparatus 100, and connects the respective parts of the entire cell image analysis apparatus 100 using various interfaces and lines. The memory 40 may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure Digital (SD) Card, flash Card (Flash Card), multiple disk storage devices, flash memory devices, or other volatile solid state memory devices. In some embodiments, the memory has stored therein program instructions that are capable of being invoked by the processor 30 to perform the aforementioned functions.
In some embodiments, the present invention further provides a computer readable storage medium having stored therein a plurality of program instructions that, when invoked by the processor 30 for execution, perform the method steps of fig. 4, thereby controlling the driver 101 to drive the stage 10 to move along the first direction X so as to cause the slide 200 to reach different relative positions with respect to the camera 20; controlling the camera 20 to acquire different image views of the same target point T on the slide 200 at the different relative positions; and judging the mounting parallelism of the camera 20 according to the coordinate positions of the target point T in different image fields. In some embodiments, the computer storage medium is the memory 40, which may be any storage device capable of storing information, such as a memory card, a solid state memory, a micro hard disk, an optical disk, and the like.
The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the description of the embodiments above being merely intended to facilitate an understanding of the method of the present application and the core concepts thereof; meanwhile, as those skilled in the art will have modifications in specific embodiments and application scope in accordance with the ideas of the present application, the present disclosure should not be construed as limiting the present application in view of the above description.
Claims (21)
1. A cell image analysis device comprising:
the carrying platform is used for carrying a slide smeared with a sample;
a camera for taking a cell image of a sample on the slide;
the processor is used for controlling the carrying platform to move along a first direction so as to enable the slide to reach different relative positions relative to the camera, and is also used for controlling the camera to acquire different image fields of view of the same target point on the slide at the different relative positions;
and the processor judges the parallelism of the camera installation according to the coordinate positions of the target points in different image fields.
2. The cell image analysis device of claim 1, wherein the processor is configured to control the stage to move in a first direction to bring the slide to at least a first relative position and a second relative position with respect to the camera; the processor is further configured to control the camera to acquire a first image view of the target point at the first relative position and acquire a second image view of the target point at the second relative position, and determine parallelism of the camera installation according to a coordinate position of the target point in the first image view and a coordinate position of the second image view.
3. The cell image analysis apparatus according to claim 2, wherein a coordinate position of the target point in the first image field of view is (x 1, y 1), a coordinate position of the target point in the second image field of view is (x 2, y 2), and a difference between x2 and x1 is a first direction movement distance by which the slide is moved from the first relative position to the second relative position by the stage; the difference between y2 and y1 is the second direction moving distance when the target point is transferred from the first relative position to the second relative position; the processor is used for judging the parallelism of the camera installation according to the first direction moving distance and the second direction moving distance or judging the parallelism of the camera installation according to the second direction moving distance.
4. The device according to claim 3, further comprising a display unit electrically connected to the processor, wherein when the second direction movement distance is less than or equal to a preset threshold value, the processor controls the display unit to output information indicating that the camera mounting parallelism verification is successful; or when the second direction moving distance is larger than a preset threshold value, the processor controls the display unit to output information indicating that the camera installation parallelism verification fails.
5. The cellular image analysis device of claim 1, wherein the processor is further configured to calculate a deviation rate of the target point in the second direction in the different view images based on the coordinate positions of the target point in the different view images, and determine parallelism of camera mounting based on the deviation rate.
6. The device of claim 5, wherein the bias ratio is equal to a ratio of the second direction cumulative bias value to the first direction cumulative bias value.
7. The device of claim 5, wherein the deviation ratio is equal to a ratio of the second direction cumulative deviation value to the number of statistics.
8. The apparatus according to any one of claims 5 to 7, further comprising a display unit, wherein the processor controls the display unit to output information indicating that the camera mounting parallelism verification is successful when the deviation rate is less than or equal to a preset threshold value.
9. The cell image analysis apparatus according to claim 8, wherein: and when the deviation rate is larger than a preset threshold value, the processor controls the display unit to output information indicating that the camera installation parallelism verification fails.
10. The cell image analysis apparatus according to claim 9, wherein: the cell image analysis device further comprises an adjusting unit electrically connected with the processor, and the processor is used for controlling the adjusting unit to automatically adjust the installation parallelism of the camera when verification fails.
11. A camera mounting parallelism verification method applied to a cell image analysis device, the cell image analysis device comprising a camera capable of relatively moving along a first direction and a carrying platform for carrying a slide smeared with a sample, the method comprising:
controlling the slide platform to move along a first direction so that the slide reaches different relative positions relative to the camera;
controlling the camera to acquire different image fields of view of the same target point on the slide at the different relative positions; and
and judging the parallelism of the camera installation according to the coordinate positions of the target points in different image fields.
12. The method of claim 11, wherein the controlling the stage to move in a first direction to reach a different relative position of the slide with respect to the camera comprises:
controlling the slide platform to move along a first direction so that the slide reaches at least a first relative position and a second relative position relative to the camera;
the controlling the camera to acquire different image fields of view of the same target point on the slide at the different relative positions includes:
controlling the camera to acquire a first image view of the target point at the first relative position and acquire a second image view of the target point at the second relative position;
the judging the parallelism of the camera installation according to the coordinate positions of the target points in different image fields comprises the following steps:
and judging the parallelism of the camera installation according to the coordinate position of the target point in the first image view field and the coordinate position of the second image view field.
13. The method of claim 12, wherein the coordinate position of the target point in the first image field of view is (x 1, y 1), the coordinate position of the target point in the second image field of view is (x 2, y 2), and the difference between x2 and x1 is a first direction movement distance by which the slide is moved by the stage from the first relative position to the second relative position; the difference between y2 and y1 is the second direction moving distance when the target point is transferred from the first relative position to the second relative position; the determining parallelism of the camera installation according to the coordinate position of the target point in the first image view field and the coordinate position of the second image view field includes:
judging the parallelism of the camera installation according to the first direction moving distance and the second direction moving distance; or (b)
And judging the parallelism of the camera installation according to the second direction moving distance.
14. The method according to claim 13, characterized in that the method further comprises the step of:
when the second direction moving distance is smaller than or equal to a preset threshold value, controlling to output information representing that the camera installation parallelism verification is successful; or,
and when the second direction moving distance is larger than a preset threshold value, controlling to output information indicating that the camera installation parallelism verification fails.
15. The method according to claim 11, wherein said determining parallelism of the camera mounting based on the coordinate positions of the target point in different image fields of view comprises the steps of:
calculating the deviation rate of the target point in the second direction in the images of different fields of view according to the coordinate positions of the target point in the fields of view of different images, and judging the parallelism of camera installation according to the deviation rate.
16. The method of claim 15, wherein the deviation rate is equal to a ratio of the second direction cumulative deviation value to the first direction cumulative deviation value.
17. The method of claim 15, wherein the deviation rate is equal to a ratio of the second direction cumulative deviation value to the number of statistics.
18. The method according to any one of claims 15 to 17, characterized in that it further comprises the step of:
and when the deviation rate is smaller than or equal to a preset threshold value, controlling to output information representing that the camera installation parallelism verification is successful.
19. The method according to claim 18, characterized in that the method further comprises the step of:
and when the deviation rate is larger than a preset threshold value, controlling to output information representing failure of camera installation parallelism verification.
20. The method according to claim 19, characterized in that the method further comprises the step of:
and when verification fails, controlling and automatically adjusting the installation parallelism of the camera.
21. A computer readable storage medium, characterized in that it has stored therein a number of program instructions for executing the steps of any of claims 11 to 20 after being called for execution by a processing unit.
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| PCT/CN2019/124317 WO2021114090A1 (en) | 2019-12-10 | 2019-12-10 | Cell image analysis device and camera installation parallelism checking method |
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