CN110706206A - Fluorescent cell counting method, fluorescent cell counting device, terminal equipment and storage medium - Google Patents

Abstract

The embodiments of the present application are applicable to the field of computer technology, and disclose a fluorescent cell counting method, device, terminal device, and computer-readable storage medium, wherein the method includes: acquiring a fluorescent image to be counted, and the fluorescent image includes at least one immunofluorescence Stained cells; binarize the fluorescent image to obtain a binarized image; identify the cell area in the binarized image according to the preset cell area parameter; count the number of fluorescent cells in the fluorescent image based on the cell area. In the embodiment of the present application, by directly converting a fluorescent image into a binarized image, the cell area in the binarized image is automatically identified, and the number of fluorescent cells is counted based on the cell area, which reduces the counting steps, and automatically identifies and counts the cells. area, thereby improving the counting efficiency and counting accuracy, and the operation is simple.

Description

Fluorescent cell counting method, device, terminal equipment and storage medium

technical field

The present application belongs to the field of computer technology, and in particular relates to a fluorescent cell counting method, device, terminal device and computer-readable storage medium.

Background technique

Immunofluorescence staining can stain specific types of cells, which show fluorescence under laser irradiation, and form a color difference from the background, and perform fluorescent cell counting based on this.

At present, there are few methods for counting the number of fluorescent cells, and the efficiency and accuracy of counting are largely lacking. That is to say, in the current fluorescent cell counting method, there is a problem that the fluorescent cells cannot be quickly and automatically counted, and the experimenter needs to perform multiple operations to count the cells, resulting in a waste of time. In addition, the existing technology is mostly integrated in the software system, and the operation is complicated, and each picture to be counted needs to be completed in a series of multiple operations, which is cumbersome and lengthy.

SUMMARY OF THE INVENTION

Embodiments of the present application provide a fluorescent cell counting method, device, terminal device, and computer-readable storage medium, so as to solve the problems of low counting efficiency and accuracy of the existing fluorescent cell counting method and complicated operation.

In a first aspect, the embodiments of the present application provide a method for counting fluorescent cells, including:

acquiring a fluorescent image to be counted, the fluorescent image including at least one immunofluorescently stained cell;

performing binarization processing on the fluorescence image to obtain a binarized image;

Identify the cell area in the binarized image according to the preset cell area parameter;

Based on the cell area, the number of fluorescent cells in the fluorescent image is counted.

With reference to the first aspect, in a possible implementation manner, the gray value of the fluorescent cells in the binarized image is a first value, and the gray value of the background color is a second value;

The identifying the cell area in the binarized image according to the preset cell area parameter includes:

reading the gray value of each pixel in the binarized image;

Connect the adjacent pixels whose gray value is the first value to form a candidate area;

Calculate the area of each candidate area separately;

A target area whose area conforms to the preset cell area parameter is screened out from each of the candidate areas, and the target area is used as the cell area.

With reference to the first aspect, in a possible implementation manner, the screening of target regions whose areas meet the preset cell area parameters from each of the candidate regions includes:

A candidate area with an area greater than 30 pixels and less than 1000 pixels is used as the target area.

With reference to the first aspect, in a possible implementation manner, the counting of the number of fluorescent cells in the fluorescent image based on the cell area includes:

In the fluorescent image, each of the cell regions is marked with a preset mark to obtain a marked fluorescent image;

The number of markers in the labeled fluorescent image is counted to obtain the number of fluorescent cells in the fluorescent image.

With reference to the first aspect, in a possible implementation manner, the counting of the number of fluorescent cells in the fluorescent image based on the cell area includes:

The number of cell regions in the binarized image is counted to obtain the number of fluorescent cells in the fluorescent image.

With reference to the first aspect, in a possible implementation manner, after counting the number of fluorescent cells in the fluorescent image based on the cell region, the method further includes:

calculating the picture size of the fluorescence image;

The actual area of the sliced tissue corresponding to the fluorescence image is calculated according to the picture size of the fluorescence image.

In a second aspect, the embodiments of the present application provide a fluorescent cell counting device, including:

an image acquisition module, configured to acquire a fluorescent image to be counted, the fluorescent image including at least one immunofluorescently stained cell;

A binarization module, configured to perform binarization processing on the fluorescence image to obtain a binarized image;

a cell identification module, used for identifying the cell area in the binarized image according to the preset cell area parameter;

A statistics module, configured to count the number of fluorescent cells in the fluorescent image based on the cell area.

With reference to the second aspect, in a possible implementation manner, the gray value of the fluorescent cells in the binarized image is a first value, and the gray value of the background color is a second value;

The cell identification module is specifically used for:

reading the gray value of each pixel in the binarized image;

Connect the adjacent pixels whose gray value is the first value to form a candidate area;

Calculate the area of each candidate area separately;

A target area whose area conforms to the preset cell area parameter is screened out from each of the candidate areas, and the target area is used as the cell area.

In conjunction with the second aspect, in a possible implementation, the cell identification module is specifically used for:

A candidate area with an area greater than 30 pixels and less than 1000 pixels is used as the target area.

With reference to the second aspect, in a possible implementation manner, the statistics module is specifically used for:

In the fluorescent image, each of the cell regions is marked with a preset mark to obtain a marked fluorescent image;

The number of markers in the labeled fluorescent image is counted to obtain the number of fluorescent cells in the fluorescent image.

Combining the two aspects, in a possible implementation manner, the statistics module is specifically used for:

The number of cell regions in the binarized image is counted to obtain the number of fluorescent cells in the fluorescent image.

In combination with the second aspect, in a possible implementation manner, the method further includes:

A picture size calculation module for calculating the picture size of the fluorescent image;

The slice area calculation module is configured to calculate the actual area of the sliced tissue corresponding to the fluorescence image according to the picture size of the fluorescence image.

In a third aspect, an embodiment of the present application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the computer program when the processor executes the computer program. The method of any one of the first aspects above.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, any one of the above-mentioned first aspect is implemented. method.

In a fifth aspect, an embodiment of the present application provides a computer program product that, when the computer program product runs on a terminal device, causes the terminal device to execute the method described in any one of the above-mentioned first aspects.

In the embodiment of the present application, by directly converting the fluorescent image into a binarized image, the cell area in the binarized image is automatically identified, and the number of fluorescent cells is counted based on the cell area, which reduces the counting steps, and automatically identifies and counts the cell area. , thereby improving the counting efficiency and counting accuracy, and the operation is simple.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present application more clearly, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only for the present application. In some embodiments, for those of ordinary skill in the art, other drawings can also be obtained according to these drawings without any creative effort.

FIG. 1 is a schematic block diagram of a process flow of a fluorescent cell counting method provided in an embodiment of the present application;

FIG. 2 is a schematic diagram of a binarized image of a rat and mouse brain tissue slice provided in an embodiment of the present application;

FIG. 3 is a schematic block diagram of a specific flow of step S103 provided in an embodiment of the present application;

FIG. 4 is a schematic block diagram of the structure of the fluorescent cell counting device provided in the embodiment of the present application;

FIG. 5 is a schematic structural diagram of a terminal device provided by an embodiment of the present application.

Detailed ways

In the following description, for the purpose of illustration rather than limitation, specific details such as a specific system structure and technology are set forth in order to provide a thorough understanding of the embodiments of the present application.

It is to be understood that, when used in this specification and the appended claims, the term "comprising" indicates the presence of the described feature, integer, step, operation, element and/or component, but does not exclude one or more other The presence or addition of features, integers, steps, operations, elements, components and/or sets thereof.

It will also be understood that, as used in this specification and the appended claims, the term "and/or" refers to and including any and all possible combinations of one or more of the associated listed items.

As used in the specification of this application and the appended claims, the term "if" may be contextually interpreted as "when" or "once" or "in response to determining" or "in response to detecting ". Similarly, the phrases "if it is determined" or "if the [described condition or event] is detected" may be interpreted, depending on the context, to mean "once it is determined" or "in response to the determination" or "once the [described condition or event] is detected. ]" or "in response to detection of the [described condition or event]".

In addition, in the description of the specification of the present application and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the description, and should not be construed as indicating or implying relative importance.

References in this specification to "one embodiment" or "some embodiments" and the like mean that a particular feature, structure or characteristic described in connection with the embodiment is included in one or more embodiments of the present application. Thus, appearances of the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in other embodiments," etc. in various places in this specification are not necessarily All refer to the same embodiment, but mean "one or more but not all embodiments" unless specifically emphasized otherwise. The terms "including", "including", "having" and their variants mean "including but not limited to" unless specifically emphasized otherwise.

The fluorescent cell counting scheme provided in the examples of the present application can be applied to the cell counting of brain tissue slices, and the type of brain tissue slices can be arbitrary, for example, rat brain tissue slices. Of course, it can also be applied to other tissue sections, which is not limited here.

In a specific application, the fluorescent cell counting solution can be applied to terminal equipment, and the type of the terminal equipment can be arbitrary, for example, a computer. The implementation of the fluorescent cell counting scheme can also be arbitrary. For example, in the embodiments of the present application, the fluorescent cell counting scheme can be implemented through Matlab, that is, each step of the fluorescent cell counting scheme can be implemented through a Matlab file.

The technical solutions provided by the embodiments of the present application will be introduced below through specific embodiments.

Please refer to FIG. 1 , which is a schematic block diagram of the flow of a fluorescent cell counting method provided in the embodiment of the present application, and the method may include the following steps:

Step S101 , acquiring a fluorescent image to be counted, where the fluorescent image includes at least one cell that has undergone immunofluorescence staining.

It can be understood that the above fluorescent image refers to an image of a tissue section after immunofluorescence staining, and the tissue section image may be a tissue section imaged under a microscope. After immunofluorescence staining, specific cells in the tissue section will be stained, and the stained cells will appear fluorescent under laser irradiation, forming a color difference with the image background.

It is worth noting that the above-mentioned tissue slice images can be images of any tissue slices, for example, rat brain tissue slice images.

Step S102 , performing binarization processing on the fluorescence image to obtain a binarized image.

It should be noted that the method of binarization processing may be any existing method, which is not limited here. Specifically, a corresponding grayscale threshold is set, and then a binarization operation is performed according to the grayscale threshold to convert the fluorescence image into a binarized image. The above grayscale threshold can be specifically set according to experimental requirements and application requirements, and is not limited here.

The binarized image includes pixels with a gray value of 1 and a gray value of 0. In general, the gray value of the background area is 1, and the gray value of the fluorescently labeled cells is 1, that is, the black area in the binarized image is the background area, and the white area is the fluorescently labeled cell area. For details, please refer to the schematic diagram of the binarized image of the rat and mouse brain tissue sections shown in FIG. 2 . The black areas in FIG. 2 are the background of the rat and mouse brain tissue sections, and the white areas are fluorescently labeled cells.

Of course, in some other embodiments, the gray value of the fluorescent cells can also be set to 0, and the gray value of the background area can be set to 1. In this case, the black areas in the binarized image are fluorescent cells, and the white areas are background area.

Step S103 , identifying the cell area in the binarized image according to the preset cell area parameter.

It should be noted that the above-mentioned preset cell area parameters refer to parameters used to define which areas in the binarized image are cells. The preset cell area parameter can be adjusted according to the difference in the counted cell volume. The larger the counted cell volume is, the larger the preset cell area parameter is. On the contrary, the smaller the counted cell volume is, the smaller the preset cell area parameter is. For example, the preset cell area parameter is greater than 30 pixels and less than 1000 pixels.

Identifying the cell region in the binarized image may refer to determining or judging which region in the binarized image is the cell region. Specifically, an area that meets the requirements can be screened out according to preset cell area parameters, and defined as a cell area. In general, one cell region corresponds to one cell.

For example, the preset cell area parameter is greater than 30 pixels and less than 1000 pixels, the black area in the binarized image is the background area, and the white area is the fluorescent cell area. At this time, the area of each white area is calculated separately, and the The white area with an area greater than 30 pixels and less than 1000 pixels is defined as the cell area, so as to automatically identify the cell area in the binarized image.

After the cell area in the binarized image is automatically identified according to the preset cell area parameter, the fluorescent cell count can be performed based on the cell area.

Step S104, based on the cell area, count the number of fluorescent cells in the fluorescent image.

In specific applications, after the cell area in the binarized image is determined, the fluorescent cell count can be performed directly based on the binarized image, that is, the number of cell areas in the binarized image is counted, and the number of cell areas is the fluorescent image. The number of fluorescent cells in the binarized image; or based on the cell area in the binarized image, each cell can be marked in the fluorescent image by using a preset marker, and each marker corresponds to a cell, so that the number of markers in the fluorescent image can be used. to obtain the number of fluorescent cells.

That is to say, in some embodiments, the specific process of counting the number of fluorescent cells in the fluorescent image based on the cell area may include: in the fluorescent image, marking each cell area with a preset identifier, and obtaining the marked Fluorescent image; count the number of markers in the labeled fluorescent image to obtain the number of fluorescent cells in the fluorescent image.

It should be noted that, the above-mentioned preset identification may be, but not limited to, a red circle, that is, in the fluorescence image, each cell area is circled with a red circle. In this way, in addition to facilitating cell counting, cells in fluorescent images can be observed more intuitively, especially if there are multiple cells in a certain area, and the distance between multiple cells is very close. It can be intuitively seen that there are several cells in the area, and after marking with the preset logo, it can be intuitively seen that there are several cells in the area.

After marking, since one marker corresponds to one cell, the number of fluorescent cells in the fluorescent image can be obtained by counting the number of markers.

Certainly, in some other embodiments, the specific process of counting the number of fluorescent cells in the fluorescent image based on the cell area may include: counting the number of cell areas in the binarized image to obtain the number of fluorescent cells in the fluorescent image. That is, the number of cell regions in the binarized image is directly counted, and the number of cell regions is the number of fluorescent cells.

In addition, in order to observe the cells in the binarized image more intuitively, each cell region in the binarized image can also be marked with a preset marker.

It can be seen that by directly converting the fluorescent image into a binarized image, the cell area in the binarized image is automatically identified, and then the number of fluorescent cells is counted based on the cell area, and the identification and counting of cells are completed in one step, without step-by-step. The operation reduces the steps, and can automatically identify and count the cell area, thereby improving the counting efficiency and counting accuracy, and the operation is simple.

In some embodiments, referring to the schematic block diagram of the specific flow of the above step S103 shown in FIG. 3 , the gray value of the fluorescent cells in the above binarized image is a first value, and the gray value of the background color is a second value. Wherein, the first value may be 1, and correspondingly, the second value may be 0. Of course, the first value may also be 0, and the second value is correspondingly 1.

At this time, the above-mentioned specific process of identifying the cell area in the binarized image according to the preset cell area parameter may include:

Step S301, read the gray value of each pixel in the binarized image.

Step S302 , connecting adjacent pixels with a gray value of a first value to form a region to be selected.

Specifically, the grayscale values of all pixels in the binarized image are obtained, and the grayscale values of each pixel are distinguished. The pixels with the gray value of the second value are connected to form the background area of the picture, and the adjacent pixels with the gray value of the first value are connected to form each candidate area with a certain area size.

For example, when the first value is 0 and the second value is 1, the image shown in FIG. 2 can be obtained after pixel points are connected according to the gray value, wherein the white area is the above-mentioned candidate area.

Step S303: Calculate the area of each candidate region respectively.

Step S304: Screen out a target area whose area conforms to the preset cell area parameter from each candidate area, and use the target area as a cell area.

Specifically, the area of each candidate area is calculated separately, and a target area that meets the area parameter requirements is screened from each candidate area according to the area, and the screened target area is defined as a cell area.

For the relevant introduction of the preset cell parameters, please refer to the corresponding content above, which will not be repeated here.

Specifically, the above-mentioned process of selecting a target area with an area conforming to a preset cell area parameter from each candidate area may include: taking a candidate area with an area greater than 30 pixels and less than 1000 pixels as the target area.

After the cell area in the binarized image is automatically identified and the number of cells is counted, the size of the fluorescence image can be further calculated, and then the actual area of the actual slice component can be calculated according to the fluorescence image. That is, after counting the number of fluorescent cells in the fluorescent image based on the cell area, the above method may further include: calculating the picture size of the fluorescent image; and calculating the actual area of the sliced tissue corresponding to the fluorescent image according to the picture size of the fluorescent image.

In specific applications, the actual area of the tissue slice can be automatically calculated according to the actual area of the slice = pixel/resolution.

In the embodiment of the present application, the above-mentioned fluorescent cell counting scheme can be implemented specifically through the Matlab program file. Specifically: after inputting the fluorescence image storage path and image name, automatically read the required fluorescence image; adjust the grayscale threshold according to actual needs, convert the read fluorescence image into a binarized image, and convert the binarized image Display; read the gray value of all pixels in the binarized image, and connect the adjacent pixels with a gray value of 1 to form multiple regions; calculate the connection of all adjacent pixels with a gray value of 1 The area of the formed area; then screen out the area with an area greater than 30 pixels and less than 1000 pixels, and define it as a cell area; according to the determined cell area, use a red circle to circle the cells in the fluorescence image, and display The original fluorescent image after labeling; the number of fluorescent cells in the fluorescent image is automatically counted; finally, the actual area of the tissue section is calculated according to the size of the read fluorescent image.

It should be understood that the size of the sequence numbers of the steps in the above embodiments does not mean the sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.

Corresponding to the fluorescent cell counting method described in the above embodiment, FIG. 4 shows a schematic block diagram of the structure of the fluorescent cell counting device provided in the embodiment of the present application.

Referring to Figure 4, the fluorescent cell counting device may include:

an image acquisition module 41, configured to acquire a fluorescent image to be counted, where the fluorescent image includes at least one immunofluorescently stained cell;

The binarization module 42 is configured to perform binarization processing on the fluorescence image to obtain a binarized image;

The cell identification module 43 is used for identifying the cell area in the binarized image according to the preset cell area parameter;

The statistics module 44 is configured to count the number of fluorescent cells in the fluorescent image based on the cell area.

In a possible implementation manner, the gray value of the fluorescent cells in the binarized image is a first value, and the gray value of the background color is a second value; the above cell identification module can be specifically used for:

Read the gray value of each pixel in the binarized image;

Connect the adjacent pixels whose gray value is the first value to form a candidate area;

Calculate the area of each candidate area separately;

A target area whose area conforms to the preset cell area parameters is screened out from each candidate area, and the target area is used as a cell area.

In a possible implementation manner, the above cell identification module can be specifically used for:

The area to be selected with an area greater than 30 pixels and less than 1000 pixels is used as the target area.

In a possible implementation manner, the above statistical module can be specifically used for:

In the fluorescence image, each cell area is marked with a preset mark to obtain a marked fluorescence image;

Count the number of markers in the labeled fluorescent image to obtain the number of fluorescent cells in the fluorescent image.

In a possible implementation manner, the above statistical module can be specifically used for:

Count the number of cell regions in the binarized image to obtain the number of fluorescent cells in the fluorescent image.

In a possible implementation manner, the above-mentioned apparatus may further include:

The picture size calculation module is used to calculate the picture size of the fluorescence image;

The slice area calculation module is used to calculate the actual area of the sliced tissue corresponding to the fluorescence image according to the picture size of the fluorescence image.

It should be noted that the above fluorescent cell counting device corresponds to the above fluorescent cell counting method one-to-one, and the similarities or similarities can be found in the corresponding content above, which will not be repeated here.

It should be noted that the information exchange, execution process and other contents between the above-mentioned devices or modules are based on the same concept as the method embodiments of the present application. For specific functions and technical effects, please refer to the method embodiments section. It is not repeated here.

FIG. 5 is a schematic structural diagram of a terminal device according to an embodiment of the present application. As shown in FIG. 5 , the terminal device 5 in this embodiment includes: at least one processor 50 , a memory 51 , and a computer program 52 stored in the memory 51 and executable on the at least one processor 50 , the When the processor 50 executes the computer program 52, the steps in any of the above-mentioned embodiments of the fluorescent cell counting method are implemented.

The terminal device 5 may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server. The terminal device may include, but is not limited to, a processor 50 and a memory 51 . Those skilled in the art can understand that FIG. 5 is only an example of the terminal device 5, and does not constitute a limitation on the terminal device 5. It may include more or less components than the one shown, or combine some components, or different components , for example, may also include input and output devices, network access devices, and the like.

The so-called processor 50 may be a central processing unit (Central Processing Unit, CPU), and the processor 50 may also be other general-purpose processors, digital signal processors (Digital Signal Processors, DSP), application specific integrated circuits (Application Specific Integrated Circuits) , ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 51 may be an internal storage unit of the terminal device 5 in some embodiments, such as a hard disk or a memory of the terminal device 5 . The memory 51 may also be an external storage device of the terminal device 5 in other embodiments, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, flash memory card (Flash Card), etc. Further, the memory 51 may also include both an internal storage unit of the terminal device 5 and an external storage device. The memory 51 is used to store an operating system, an application program, a boot loader (Boot Loader), data, and other programs, such as program codes of the computer program, and the like. The memory 51 can also be used to temporarily store data that has been output or will be output.

Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. Module completion, that is, dividing the internal structure of the device into different functional units or modules to complete all or part of the functions described above. Each functional unit and module in the embodiment may be integrated in one processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit, and the above-mentioned integrated units may adopt hardware. It can also be realized in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present application. For the specific working processes of the units and modules in the above-mentioned system, reference may be made to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

Embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed by a processor, the steps in the foregoing embodiments of the fluorescent cell counting methods can be implemented. .

The embodiments of the present application provide a computer program product, when the computer program product runs on a terminal device, the terminal device can implement the steps in each of the above-mentioned embodiments of the fluorescent cell counting method.

The integrated unit, if implemented in the form of a software functional unit and sold or used as an independent product, may be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can be implemented by a computer program to instruct the relevant hardware. The computer program can be stored in a computer-readable storage medium, and the computer program When executed by a processor, the steps of each of the above method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code may be in the form of source code, object code, executable file or some intermediate form, and the like. The computer-readable medium may include at least: any entity or device capable of carrying computer program codes to the photographing device/terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), electrical carrier signal, telecommunication signal, and software distribution medium. For example, U disk, mobile hard disk, disk or CD, etc. In some jurisdictions, under legislation and patent practice, computer readable media may not be electrical carrier signals and telecommunications signals.

In the foregoing embodiments, the description of each embodiment has its own emphasis. For parts that are not described or described in detail in a certain embodiment, reference may be made to the relevant descriptions of other embodiments.

Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of this application.

In the embodiments provided in this application, it should be understood that the disclosed apparatus/network device and method may be implemented in other manners. For example, the apparatus/network device embodiments described above are only illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units. Or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the above-mentioned embodiments, those of ordinary skill in the art should understand that: it can still be used for the above-mentioned implementations. The technical solutions described in the examples are modified, or some technical features thereof are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions in the embodiments of the application, and should be included in the within the scope of protection of this application.

Claims (10)

1. A method of fluorescent cell counting, comprising:

acquiring a fluorescence image to be counted, wherein the fluorescence image comprises at least one cell subjected to immunofluorescence staining;

carrying out binarization processing on the fluorescence image to obtain a binarized image;

identifying a cell area in the binary image according to a preset cell area parameter;

counting the number of fluorescent cells in the fluorescent image based on the cell region.

2. The fluorescent cell counting method according to claim 1, wherein the fluorescent cell gray value in the binarized image is a first value, and the background color gray value is a second value;

the identifying the cell area in the binary image according to the preset cell area parameter comprises the following steps:

reading the gray value of each pixel point in the binary image;

connecting adjacent pixel points with the gray values as first numerical values to form a to-be-selected area;

respectively calculating the area of each region to be selected;

and screening target regions with areas meeting the preset cell area parameters from the regions to be selected, and taking the target regions as the cell regions.

3. The fluorescent cell counting method according to claim 2, wherein the step of screening the target region with an area meeting the preset cell area parameter from each of the candidate regions comprises:

and taking the area of the candidate area which is larger than 30 pixels and smaller than 1000 pixels as the target area.

4. The fluorescent cell counting method of claim 1, wherein the counting the number of fluorescent cells in the fluorescent image based on the cell region comprises:

marking each cell area in the fluorescence image by using a preset mark to obtain a marked fluorescence image;

and counting the number of the marks in the marked fluorescence image to obtain the number of the fluorescence cells in the fluorescence image.

5. The fluorescent cell counting method of claim 1, wherein the counting the number of fluorescent cells in the fluorescent image based on the cell region comprises:

and counting the number of the cell areas in the binary image to obtain the number of the fluorescent cells in the fluorescent image.

6. The fluorescent cell counting method according to any one of claims 1 to 5, further comprising, after the counting the number of fluorescent cells in the fluorescent image based on the cell region:

calculating the picture size of the fluorescence image;

and calculating the actual area of the slice tissue corresponding to the fluorescence image according to the size of the fluorescence image.

7. A fluorescent cell counting device, comprising:

the device comprises an image acquisition module, a counting module and a counting module, wherein the image acquisition module is used for acquiring a fluorescence image to be counted, and the fluorescence image comprises at least one cell subjected to immunofluorescence staining;

the binarization module is used for carrying out binarization processing on the fluorescent image to obtain a binarization image;

the cell identification module is used for identifying a cell area in the binary image according to a preset cell area parameter;

and the counting module is used for counting the number of the fluorescent cells in the fluorescent image based on the cell region.

8. The fluorescent cell counting device according to claim 7, wherein the fluorescent cell gray scale value in the binarized image is a first value, and the background color gray scale value is a second value;

the cell recognition module is specifically configured to:

reading the gray value of each pixel point in the binary image;

connecting adjacent pixel points with the gray values as first numerical values to form a to-be-selected area;

respectively calculating the area of each region to be selected;

and screening target regions with areas meeting the preset cell area parameters from the regions to be selected, and taking the target regions as the cell regions.

9. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the method according to any of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1 to 6.

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