CN114781527A

CN114781527A - Karyotype identification method and device based on fluorescent photograph and electronic equipment

Info

Publication number: CN114781527A
Application number: CN202210451474.2A
Authority: CN
Inventors: 刘颖娟; 杨桂
Original assignee: Zhongnan Hospital of Wuhan University
Current assignee: Zhongnan Hospital of Wuhan University
Priority date: 2022-04-27
Filing date: 2022-04-27
Publication date: 2022-07-22

Abstract

The invention discloses a karyotype identification method, a karyotype identification device and electronic equipment based on a fluorescent photo, wherein the method comprises the steps of respectively obtaining each panoramic fluorescent image of a target sample under different exposure degrees based on exposure enclosure; comparing all panoramic fluorescence images, and screening out abnormal panoramic fluorescence images with overexposure or underexposure; and identifying the fluorescence expression information of each cell in the rest panoramic fluorescence images to generate a karyotype identification result. The invention realizes the image comparison and identification of the pathology sample after the fluorescent staining in a surrounding exposure mode, screens out the panoramic fluorescent image which is subjected to the overexposure and is caused by strong positive, ensures the accuracy of the fluorescent expression information finally acquired based on the panoramic fluorescent image, and further ensures the accuracy of the finally generated karyotype identification result.

Description

Karyotype identification method and device based on fluorescent photograph and electronic equipment

Technical Field

The application relates to the technical field of karyotype identification, in particular to a karyotype identification method and device based on a fluorescent photo and electronic equipment.

Background

In the medical practice of autoimmune diseases, in order to make an accurate diagnosis of the disease, qualitative, quantitative and autoantibody karyotype identification of autoantibodies in the blood of patients is required, and currently, immunofluorescence is generally used clinically to accomplish identification: after HEP-2 cells (containing specific antigens), serum to be detected (containing specific antibodies) and fluorescent labeled antibodies are specifically combined, fluorescent labels are stimulated by corresponding exciting light to obtain fluorescent images, then a fluorescent picture is obtained by an automatic photographing system, and the characteristics of the fluorescent picture are interpreted to complete the related judgment of the autoantibodies.

The fluorescence photograph was characterized mainly by observing the status of HEP-2 cells: the presence or absence of fluorescence (for qualitative purposes) and intensity of fluorescence signals (for quantitative purposes, expressed in terms of serum dilution, i.e., titer, and interpreted from the intensity of the fluorescence photograph) of HEP-2 cells, the expression form of fluorescence signals on the nucleus (the expression form in the fluorescence photograph is vacuole type and uniform full-coverage type) and the presence or absence of fluorescence (the expression form in the fluorescence photograph of positive staining is uniform full-coverage type and no fluorescence signal is present on negative chromosomes) of dividing cell chromosomes are several major factors for judging the types of autoantibodies.

However, the current automatic fluorescent photograph taking system has two problems:

firstly, the exposure parameter of the camera is set to be single, which causes detail errors of a fluorescence photograph and influences the determination of the karyotype and titer of the antibody. Due to the fact that the differences of the autoantibody titers of different clinical serum samples are huge, the intensity of a fluorescence signal is uneven, and a fluorescence picture shot under a single parameter has the condition of underexposure or overexposure, the shot HEP-2 cells have errors in details, if the fluorescence signal shows strong positive, the chromosome negative in a cell division stage shows false positive on the fluorescence picture due to automatic shooting overexposure, so that the judgment of the karyotype type of the autoantibody is influenced, and meanwhile, the overall brightness of the fluorescence picture is increased due to overexposure, so that the erroneous judgment of the autoantibody titer is caused.

And secondly, the automatic photographing system has no panoramic photographing mode, and key information is covered when the cells containing the chromosome division stage are photographed. The chromosome fluorescence state of the cells in the division phase is a necessary identification index of the nuclear type of the autoantibody, but the current automatic shooting mode only randomly selects three parts of a prepared specimen for shooting, and cannot ensure that the shot picture contains the chromosome cells in the division phase, thereby influencing the judgment of the nuclear type of the autoantibody.

The above-mentioned problem makes the nuclear type judgement result that obtains through the automatic photograph of fluorescence photo at present and actual conditions have the error.

Disclosure of Invention

In order to solve the above problems, embodiments of the present application provide a karyotype identification method and apparatus based on a fluorescent photograph, and an electronic device.

In a first aspect, the present embodiments provide a method for karyotype identification based on fluorescent photographs, the method including:

respectively acquiring panoramic fluorescence images of the target sample under different exposure degrees based on the surrounding exposure;

comparing all the panoramic fluorescence images, and screening out abnormal panoramic fluorescence images with overexposure or underexposure;

and identifying the fluorescence expression information of each cell in the rest panoramic fluorescence images to generate a karyotype identification result.

Preferably, the acquiring of the panoramic fluorescence images of the target sample at different exposure levels based on the exposure enclosure comprises:

determining an exposure adjusting parameter based on preset exposure enclosing information, and adjusting initial exposure according to the exposure adjusting parameter to obtain at least two exposures;

and acquiring panoramic fluorescence images of the target sample under each exposure level.

Preferably, the acquiring a panoramic fluorescent image of the target sample includes:

constructing a coordinate system based on the target sample, and generating a shooting route by taking the origin of coordinates as a starting point;

and controlling a camera to continuously acquire shot images based on the shooting route, and splicing the shot images to obtain a panoramic fluorescence image, wherein the panoramic fluorescence image comprises all images of the target sample.

Preferably, the abnormal panoramic fluorescence image comprises a first abnormal panoramic fluorescence image and a second abnormal panoramic fluorescence image;

comparing each panoramic fluorescence image, and screening out abnormal panoramic fluorescence images with overexposure or underexposure, wherein the steps comprise:

determining a highlight area in each panoramic fluorescent image, wherein the highlight area is an area formed by pixel points with brightness values higher than preset brightness values;

comparing each high light area, and determining an abnormal brightness area, wherein the abnormal brightness area is a brightness area with a matching proportion lower than a first preset proportion, and the matching proportion is the proportion of matching areas existing at the same position in all the rest panoramic fluorescent images;

determining the panoramic fluorescent image corresponding to the abnormal brightness area as a first abnormal panoramic fluorescent image, and screening out the first abnormal panoramic fluorescent image;

determining the matching proportion of each high light area in each remaining panoramic fluorescent image, determining the panoramic fluorescent image without the matching proportion corresponding to the matching area as a second abnormal panoramic fluorescent image when the matching proportion is not a second preset proportion, and screening out the second abnormal panoramic fluorescent image.

Preferably, the identifying fluorescence expression information of each cell in the remaining panoramic fluorescence image to generate a karyotype identification result includes:

identifying and dividing each cell in the remaining panoramic fluorescent image based on a preset RGB value range, and acquiring fluorescence expression information of each cell, wherein the fluorescence expression information comprises cell nucleus fluorescence expression information and chromosome fluorescence expression information;

and determining first karyotype information corresponding to the cells based on the fluorescence expression information, and integrating each first karyotype information to generate a karyotype identification result.

Preferably, the method further comprises:

determining target cells of which chromosome fluorescence expression information is characterized as a uniform full coverage type or a non-fluorescence signal type;

dividing at least one identification area in the panoramic fluorescent image based on the spatial distribution of each target cell, wherein the identification area comprises at least one target cell;

enlarging the identification area to match the size of the identification area with the panoramic fluorescence image;

and determining second karyotype information corresponding to each target cell in the identification area, and comparing the first karyotype information with the second karyotype information to generate verification result information.

Preferably, the method further comprises:

acquiring a preset standard exposure adjusting parameter, and adjusting the current exposure to the standard exposure based on the standard exposure adjusting parameter;

and acquiring a titer judgment panoramic fluorescent image corresponding to the standard exposure, and identifying the titer of the target sample based on the titer judgment panoramic fluorescent image.

In a second aspect, the present application provides a fluorography-based karyotype identification apparatus, the apparatus including:

the acquisition module is used for respectively acquiring each panoramic fluorescent image of the target sample under different exposure degrees based on the surrounding exposure;

the comparison module is used for comparing each panoramic fluorescent image and screening abnormal panoramic fluorescent images with over exposure or under exposure;

and the identification module is used for identifying the fluorescence expression information of each cell in the rest panoramic fluorescence images and generating a karyotype identification result.

In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the steps of the method as provided in the first aspect or any one of the possible implementation manners of the first aspect.

In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method as provided in the first aspect or any one of the possible implementations of the first aspect.

The beneficial effects of the invention are as follows: 1. and comparing and identifying the images of the samples subjected to the fluorescent staining in a surrounding exposure mode, so as to screen out the panoramic fluorescent image which is subjected to overexposure and is strong positive, thereby ensuring the accuracy of the fluorescent expression information finally acquired based on the panoramic fluorescent image and further ensuring the accuracy of the finally generated karyotype identification result.

2. The fluorescent image is obtained in a panoramic shooting mode, all cells on the sample can be observed and identified, and the accuracy of karyotype identification is further improved.

3. The titer of the target sample is determined through the standard exposure, so that the influence of the enclosing exposure mode on the judgment result of the titer of the sample is avoided.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required to be used in the embodiments will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.

FIG. 1 is a schematic flow chart of a karyotype identification method based on a fluorescent photograph according to an embodiment of the present application;

FIG. 2 is a schematic structural diagram of a karyotype identification apparatus based on a fluorescent photograph according to an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.

In the following description, the terms "first" and "second" are used for descriptive purposes only and are not intended to indicate or imply relative importance. The following description provides embodiments of the present application, which may be combined or interchanged with one another, and therefore the present application is also to be construed as encompassing all possible combinations of the same and/or different embodiments described. Thus, if one embodiment includes feature A, B, C and another embodiment includes feature B, D, then this application should also be construed to include embodiments that include A, B, C, D in all other possible combinations, even though such embodiments may not be explicitly recited in the text that follows.

The following description provides examples, and does not limit the scope, applicability, or examples set forth in the claims. Changes may be made in the function and arrangement of elements described without departing from the scope of the disclosure. Various examples may omit, substitute, or add various procedures or components as appropriate. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Furthermore, features described with respect to some examples may be combined into other examples.

Referring to fig. 1, fig. 1 is a schematic flow chart of a karyotype identification method based on a fluorescent photograph according to an embodiment of the present application. In an embodiment of the present application, the method includes:

s101, respectively acquiring panoramic fluorescence images of the target sample under different exposure levels based on exposure enclosing.

The execution subject of the present application may be a controller of a terminal connected to a camera that photographs a sample.

In the embodiment of the present application, in the fluorescence image captured by the camera, the positive cell nuclei are stained to appear as bright green fluorescence, the positive cell nuclei appear as bright green highlight fluorescence, and the rest of the cell nuclei appear as black due to being hardly stained. When the cell nucleus is positive, the expression in the fluorescent photograph is vacuole type and uniform full coverage type. If the cell nucleus is vacuole-type strong positive, camera overexposure may be caused, and the cell nucleus which is in an elliptical ring shape and has a small inner vacuole is white and highlighted, and is mistakenly judged as a positive chromosome. Furthermore, if the exposure level of the camera is initially set too low, the difference in fluorescence between the chromosome and the cell nucleus may be inconspicuous, making it difficult to distinguish the cell karyotype. Therefore, the controller adjusts the exposure degree in a surrounding exposure mode and respectively acquires panoramic fluorescent images shot by the target sample under different exposure degrees so as to identify the overexposure position through comparison and judgment.

In one possible implementation, step S101 includes:

In the embodiment of the present application, the exposure bracketing is formed by forming 3 or 5 photographs of different exposure amounts by intermediate exposure values and decreasing and increasing exposure values. The user can preset the enclosing exposure information in the controller, and the enclosing exposure information stores exposure degree adjusting parameters, namely, the exposure degree is adjusted by taking the exposure degree as an interval. The camera is set to initial exposure under the default state, so the controller can adjust the initial exposure according to the exposure adjusting parameters, and then a plurality of exposures are obtained, and then the panoramic fluorescent image of the target sample is respectively obtained according to the exposures.

In one embodiment, the acquiring a panoramic fluorescence image of the target sample includes:

In the embodiment of the present application, in order to ensure the accuracy of karyotyping the target sample, it is necessary to identify the fluorescence images corresponding to the entire target sample, rather than only randomly selecting local positions for identification. Therefore, the controller constructs a coordinate system according to the target sample, generates a shooting route in the coordinate system, further generates a control instruction to control the camera to move according to the shooting route, and continuously acquires the shooting images shot by the camera in the moving process. Finally, the collected shooting images are spliced, so that a panoramic fluorescent image of a target sample can be obtained. And the shooting route is constructed according to the coordinate system corresponding to the target sample, so that the collected shooting image is ensured to cover all areas of the target sample.

And S102, comparing the panoramic fluorescent images, and screening abnormal panoramic fluorescent images with overexposure or underexposure.

In the embodiment of the application, after the controller acquires each panoramic fluorescent image collected by the camera, the controller can determine the abnormal panoramic fluorescent image with over-exposure fluorescence or under-exposure fluorescence from the image identification process of whether the white highlight positions in each panoramic fluorescent image are the same or not by comparing the panoramic fluorescent images, and then screen out the abnormal panoramic fluorescent image, so that errors in subsequent karyotype identification are avoided.

In one possible embodiment, the abnormal panoramic fluorescence image includes a first abnormal panoramic fluorescence image and a second abnormal panoramic fluorescence image;

step S102 includes:

In the embodiment of the present application, since there often occurs a nucleus with a brightness far exceeding the positive value represented by the positive chromosome, the controller will first determine the highlight region in the panoramic fluorescence image, and represent the positive chromosome region by the highlight region. If the region is a true positive chromosome, it will appear bright green and high light under any exposure level, and if the region is an overexposed vacuole cell nucleus, its brightness value will not reach the preset brightness value under a lower exposure level, and thus the corresponding high light region cannot be identified in some panoramic fluorescent images. The controller compares and identifies all panoramic fluorescent images according to the principle, and if the matching proportion corresponding to a certain highlight area is lower than a first preset proportion (for example twenty percent), the controller determines that bright green highlights do not exist at the same positions of most of the panoramic fluorescent images, the panoramic fluorescent images corresponding to the abnormal highlight areas have an overexposure problem, and the controller determines the panoramic fluorescent images as first abnormal panoramic fluorescent images and screens out the first abnormal panoramic fluorescent images.

In addition, there are cases of underexposure, and because the brightness values of the positions other than the cells in the panoramic fluorescence image are also low, the underexposed image cannot be directly and automatically distinguished well by judging the brightness values. The controller will check the matching ratio of each highlight area again after screening the overexposed image, and if there is no underexposed image, the matching ratio should be the second predetermined ratio (e.g. 1). Therefore, when the matching proportion is not 1, the controller can directly determine which panoramic fluorescent images correspond to the matching area covered by the matching proportion, and further determine the panoramic fluorescent images without the matching area covered by the matching proportion as second abnormal panoramic fluorescent images, namely underexposed images, and screen out the images, thereby finally realizing the screening out of the overexposed and underexposed images.

And S103, identifying the fluorescence expression information of each cell in the rest panoramic fluorescence images to generate a karyotype identification result.

In the embodiment of the present application, after the abnormal panoramic fluorescent image is screened out, the controller identifies the fluorescence expression information of each cell in the remaining panoramic fluorescent images considered as normal, that is, determines the type corresponding to the cell nucleus according to the fluorescence coverage rate of each cell, thereby determining the cell karyotype, and further generating a karyotype identification result.

In one possible implementation, step S103 includes:

In the embodiment of the application, since the fluorescence-stained cell nuclei show bright green fluorescence, the controller can identify the whole image according to a preset RGB value range, and further identify and divide oval cell nuclei through the area distribution of the bright green fluorescence, that is, divide each cell. After each cell is divided, fluorescence expression information of each cell is obtained, namely cell nucleus fluorescence expression information and chromosome fluorescence expression information are determined according to whether bright green fluorescence in a fluorescence area of the cell is completely covered or whether a white highlight area exists inside the cell, first karyotype information corresponding to the cell is determined by combining the specific cell nucleus fluorescence expression information and the specific chromosome fluorescence expression information, and a nucleation type identification result can be generated by integrating the first karyotype information corresponding to all the cells.

In one embodiment, the method further comprises:

In the embodiment of the present application, since the identification is performed based on the panoramic image in the foregoing process, the panoramic image may be large, so that the relative size of each cell in the image is small, a case where the vacuole type is identified as the full coverage type may occur, and a case where the chromosome identification is erroneous may also occur. The controller marks the target cells according to the chromosome fluorescence expression information, divides a plurality of identification areas in the panoramic fluorescence image based on the spatial distribution among the target cells, and amplifies the identification areas, so that the identification confirmation of the second core information is carried out on the amplified identification areas again. Through comparison of the first karyotype information and the second karyotype information, the previously generated result can be verified, and the accuracy of the result can be further judged.

Possibly, the dividing at least one identification area in the panoramic fluorescence image based on the spatial distribution of each target cell, the identification area containing at least one target cell, includes:

dividing at least one identification area in the panoramic fluorescent image, wherein the identification area comprises at least one target cell, the first distance between any two adjacent target cells is not more than a first preset distance, and the second distance between at least one target cell and an area boundary in the identification area is not more than a second preset distance.

In the embodiment of the present application, the sizes of the identification regions may be different, and the target cells are divided according to the degree of closeness between the target cells, so that the adjacent and aggregated target cells are divided into the same identification region, thereby improving the verification efficiency.

In one embodiment, the method further comprises:

In the embodiment of the present application, the identification process of the sample also determines the titer of the sample, and the titer can be judged by the brightness value. Therefore, different sample titers can be reflected by different fluorescent photograph brightnesses, so that in order to avoid errors in the judgment result of the actual titer of the sample caused by the brightness among different exposure parameters, uniform standard exposure adjustment parameters are preset, and the corresponding brightness serves as the titer judgment standard.

The fluorescence photograph-based karyotype identification apparatus provided in the embodiment of the present application will be described in detail below with reference to fig. 2. It should be noted that the karyotype identification apparatus based on fluorescent photographs shown in fig. 2 is used for executing the method of the embodiment shown in fig. 1 of the present application, and for convenience of description, only the parts related to the embodiment of the present application are shown, and details of the technology are not disclosed, please refer to the embodiment shown in fig. 1 of the present application.

Referring to fig. 2, fig. 2 is a schematic structural diagram of a karyotype identification apparatus based on a fluorescent photograph according to an embodiment of the present application. As shown in fig. 2, the apparatus includes:

an obtaining module 201, configured to obtain, based on exposure, panoramic fluorescence images of the target sample at different exposures, respectively;

a comparison module 202, configured to compare the panoramic fluorescent images, and screen out abnormal panoramic fluorescent images with overexposure or underexposure;

and the identification module 203 is used for identifying the fluorescence expression information of each cell in the remaining panoramic fluorescence images and generating a karyotype identification result.

In one implementation, the obtaining module 201 includes:

the adjusting unit is used for determining an exposure adjusting parameter based on preset surrounding exposure information and adjusting the initial exposure according to the exposure adjusting parameter to obtain at least two exposures;

and the acquisition unit is used for acquiring the panoramic fluorescent image of the target sample under each exposure level.

In one embodiment, the acquisition unit comprises:

the construction element is used for constructing a coordinate system based on the target sample and generating a shooting route by taking the origin of coordinates as a starting point;

and the control element is used for controlling the camera to continuously acquire shot images based on the shooting route and splicing the shot images to obtain a panoramic fluorescent image, wherein the panoramic fluorescent image comprises all images of the target sample.

In one embodiment, the alignment module 202 comprises:

the determining unit is used for determining a highlight area in each panoramic fluorescent image, wherein the highlight area is an area formed by pixel points with brightness values higher than preset brightness values;

a comparison unit, configured to compare the high light regions, and determine an abnormal brightness region, where the abnormal brightness region is a brightness region with a matching ratio lower than a first preset ratio, and the matching ratio is a ratio of matching regions existing at the same position in all the remaining panoramic fluorescent images;

the first screening unit is used for determining the panoramic fluorescent image corresponding to the abnormal brightness area as a first abnormal panoramic fluorescent image and screening the first abnormal panoramic fluorescent image;

the second screening unit is used for determining the matching proportion of each high light area in each remaining panoramic fluorescent image, determining the panoramic fluorescent image without the matching proportion corresponding to the matching area as a second abnormal panoramic fluorescent image when the matching proportion is not a second preset proportion, and screening the second abnormal panoramic fluorescent image.

In one possible implementation, the identification module 203 includes:

the identification unit is used for identifying and dividing each cell in the remaining panoramic fluorescent image based on a preset RGB value range and acquiring fluorescence expression information of each cell, wherein the fluorescence expression information comprises cell nucleus fluorescence expression information and chromosome fluorescence expression information;

and a generation unit configured to specify first karyotype information corresponding to the cell based on the fluorescence expression information, and integrate the first karyotype information to generate a karyotype identification result.

In one embodiment, the apparatus further comprises:

the first determination module is used for determining the target cells of which the chromosome fluorescence expression information is characterized to be a uniform full coverage type or a non-fluorescence signal type;

a dividing module, configured to divide at least one identification region in the panoramic fluorescent image based on spatial distribution of each target cell, where the identification region includes at least one target cell;

the amplification module is used for amplifying the identification area so as to match the size of the identification area with the panoramic fluorescent image;

and the second determining module is used for determining second karyotype information corresponding to each target cell in the identification area, comparing the first karyotype information with the second karyotype information, and generating verification result information.

In one possible implementation, the partitioning module includes:

the dividing unit is used for dividing at least one identification area in the panoramic fluorescent image, the identification area comprises at least one target cell, a first distance between any two adjacent target cells is not greater than a first preset distance, and a second distance between at least one target cell and an area boundary in the identification area is not greater than a second preset distance.

In one embodiment, the apparatus further comprises:

the adjusting module is used for acquiring a preset standard exposure adjusting parameter and adjusting the current exposure to the standard exposure based on the standard exposure adjusting parameter;

and the titer identification module is used for acquiring the titer judgment panoramic fluorescent image corresponding to the standard exposure and identifying the titer of the target sample based on the titer judgment panoramic fluorescent image.

It is clear to a person skilled in the art that the solution according to the embodiments of the present application can be implemented by means of software and/or hardware. The "unit" and "module" in this specification refer to software and/or hardware that can perform a specific function independently or in cooperation with other components, where the hardware may be, for example, a Field-Programmable Gate Array (FPGA), an Integrated Circuit (IC), or the like.

Each processing unit and/or module in the embodiments of the present application may be implemented by an analog circuit that implements the functions described in the embodiments of the present application, or may be implemented by software that executes the functions described in the embodiments of the present application.

Referring to fig. 3, a schematic structural diagram of an electronic device according to an embodiment of the present application is shown, where the electronic device may be used to implement the method in the embodiment shown in fig. 1. As shown in fig. 3, the electronic device 300 may include: at least one central processor 301, at least one network interface 304, a user interface 303, a memory 305, at least one communication bus 302.

Wherein the communication bus 302 is used to enable connection communication between these components.

The user interface 303 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 303 may further include a standard wired interface and a wireless interface.

The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.

The central processor 301 may include one or more processing cores. The central processor 301 connects various parts within the entire electronic device 300 using various interfaces and lines, and performs various functions of the terminal 300 and processes data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305 and calling data stored in the memory 305. Alternatively, the central Processing unit 301 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The CPU 301 may integrate one or a combination of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the modem may not be integrated into the cpu 301, but may be implemented by a single chip.

The Memory 305 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable medium. The memory 305 may be used to store instructions, programs, code sets, or instruction sets. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 305 may alternatively be at least one storage device located remotely from the central processor 301. As shown in fig. 3, memory 305, which is a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and program instructions.

In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used as an interface for providing input for a user, and acquiring data input by the user; the central processor 301 may be configured to invoke the fluorescent photograph-based karyotype identification application stored in the memory 305, and specifically perform the following operations:

The present application also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above-described method. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVDs, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory devices, magnetic or optical cards, nanosystems (including molecular memory ICs), or any type of media or device suitable for storing instructions and/or data.

It should be noted that for simplicity of description, the above-mentioned embodiments of the method are described as a series of acts, but those skilled in the art should understand that the present application is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present application. Further, those skilled in the art will recognize that the embodiments described in this specification are preferred embodiments and that acts or modules referred to are not necessarily required for this application.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some service interfaces, devices or units, and may be an electrical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit may be implemented in the form of hardware, or may also be implemented in the form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.

Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by a program, which is stored in a computer-readable memory, and the memory may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.

The above description is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure should not be limited thereby. That is, all equivalent changes and modifications made in accordance with the teachings of the present disclosure are intended to be included within the scope of the present disclosure. Embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims

1. A method for karyotype identification based on fluorograms, the method comprising:

respectively acquiring panoramic fluorescent images of the target sample under different exposure degrees based on the exposure enclosure;

2. The method of claim 1, wherein the acquiring each panoramic fluorescence image of the target sample at different exposures based on the bracketing exposure comprises:

and acquiring a panoramic fluorescence image of the target sample under each exposure level.

3. The method of claim 2, wherein said obtaining a panoramic fluorescence image of a target sample comprises:

4. The method of claim 1, wherein the abnormal panoramic fluorescence image comprises a first abnormal panoramic fluorescence image and a second abnormal panoramic fluorescence image;

comparing each high light area, and determining an abnormal brightness area, wherein the abnormal brightness area is a brightness area with a matching proportion lower than a first preset proportion, and the matching proportion is a proportion of matching areas existing at the same position in all the rest panoramic fluorescent images;

5. The method of claim 1, wherein the identifying fluorescence representation information of each cell in the remaining panoramic fluorescence images, generating a karyotype identification result, comprises:

and determining first karyotype information corresponding to the cells based on the fluorescence expression information, and integrating the first karyotype information to generate a karyotype identification result.

6. The method of claim 5, further comprising:

enlarging the identification area to match a size of the identification area with the panoramic fluorescence image;

7. The method of claim 1, further comprising:

8. A fluorography-based karyotype identification apparatus, the apparatus comprising:

the acquisition module is used for respectively acquiring all panoramic fluorescent images of the target sample under different exposure levels based on the exposure enclosure;

9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1-7 when executing the computer program.

10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.