CN113850200A

CN113850200A - Gene chip interpretation method, device, equipment and storage medium

Info

Publication number: CN113850200A
Application number: CN202111138538.5A
Authority: CN
Inventors: 蔡树衡; 翁丹容; 张伟; 陈梓泳; 郑镇钦
Original assignee: Chaozhou Kaipu Biochemistry Co ltd; Guangzhou Hybribio Biotech Ltd; Hybribio Ltd; Guangdong Kaipu Manufacturing Co ltd
Current assignee: Chaozhou Kaipu Biochemistry Co ltd; Guangzhou Hybribio Biotech Ltd; Hybribio Ltd; Guangdong Kaipu Manufacturing Co ltd
Priority date: 2021-09-27
Filing date: 2021-09-27
Publication date: 2021-12-28
Anticipated expiration: 2041-09-27
Also published as: CN113850200B

Abstract

The embodiment of the invention discloses an interpretation method of a gene chip, which is applied to an interpretation device of the gene chip built in a chip hybridization instrument and comprises the following steps: acquiring a gene chip image to be interpreted through a preset interface connected with a chip hybridization instrument, and identifying a target image in the gene chip image; and inputting the target image into the trained interpretation model to obtain an output interpretation result. According to the gene chip interpretation method provided by the embodiment of the invention, the gene chip interpretation device is embedded into the existing chip hybridization instrument to obtain the gene chip image, and the interpretation model is utilized to carry out intelligent interpretation, so that the automatic interpretation of the gene chip image is realized, the repetitive labor of workers is reduced, and the working efficiency is greatly improved.

Description

Gene chip interpretation method, device, equipment and storage medium

Technical Field

The invention relates to the technical field of computer vision, in particular to an interpretation method, device, equipment and storage medium of a gene chip.

Background

The sequencing principle of gene chip is to make nucleic acid sequence determination by means of hybridization with a group of nucleic acid probes with known sequence, in which the spot hybridization method is that the denatured point of DNA to be tested is placed on nitrocellulose membrane (or nylon membrane, NC membrane), and then the labeled probe is used to make hybridization, then the membrane is washed (the probe which is not jointed is removed) and autoradiography is implemented, and according to the developed result it can be judged that there is hybridization or its hybridization strength, so that it is mainly used for detecting gene deletion or copy number change.

The interpretation of the gene chip can be carried out only by a manual interpretation mode at present, and the following problems exist: the device cannot be integrally matched with an intelligent instrument and cannot automatically send a detection result; the work is tedious, and the manual interpretation efficiency is low.

For the automatic interpretation of gene chips, the current schemes have unsatisfactory effects, and the following technical difficulties exist: misjudgment is caused by irregular images, poor background, light color, shadow at edges and the like; the image is painted, written, damaged, etc., which causes misjudgment; weak positive can not be mistakenly distinguished, and manual recheck is needed; external interpretation equipment and software cannot be integrated into the hybridization apparatus.

Disclosure of Invention

The embodiment of the invention provides an interpretation method, device, equipment and storage medium of a gene chip, which realize intelligent interpretation of a gene chip developing result.

In a first aspect, an embodiment of the present invention provides a method for interpreting a gene chip, the method being applied to an interpretation apparatus for a gene chip built in a chip hybridization apparatus, including:

acquiring a gene chip image to be interpreted through a preset interface connected with a chip hybridization instrument, and identifying a target image in the gene chip image;

and inputting the target image into a trained interpretation model to obtain an output interpretation result.

Further, the identification of the target image in the gene chip image comprises:

converting the gene chip image into a binary image through binarization processing;

and carrying out frame identification on the binary image to obtain the target image containing four frame lines.

Further, converting the gene chip image into a binary image through binarization processing, comprising:

adjusting the resolution and the size of the gene chip image to a preset size;

determining the gray value of each pixel point in the gene chip image, and aiming at each pixel point, if the gray value is greater than or equal to a first set threshold value, making the gray value of the corresponding pixel point be 255, and if the gray value is less than the first set threshold value, making the gray value of the corresponding pixel point be 0;

and determining the image with the gray value of 0 or 255 of each pixel point as the binary image.

Further, performing frame recognition on the binarized image to obtain the target image containing four frame lines, including:

cutting the binary image, removing the edge part in the binary image, and correcting the binary image to a standard position through rotation;

identifying lines in the binary image, screening, and reserving lines with the gray value being greater than or equal to a second set threshold value;

and determining four frame lines in the binarized image, and determining the binarized image containing the four frame lines as the target image.

Further, determining four frame lines in the binarized image includes:

respectively determining a first reference line at a set distance below a first black line on the upper side of the binary image and a second reference line at a set distance below a second black line, and if the gray value in the coverage range of the first reference line is zero and the gray value in the coverage range of the second reference line is not zero, determining the second reference line as an upper side frame;

respectively determining a third reference line at a set distance to the right of a first black line on the left side of the binarized image and a fourth reference line at a set distance to the right of a second black line, and if the gray value in the coverage range of the third reference line is zero and the gray value in the coverage range of the fourth reference line is not zero, determining the fourth reference line as a left side frame;

and determining the lower side frame and the right side frame of the target image according to the positions of the upper side frame and the left side frame and the set image size.

Further, before inputting the target image into the trained interpretation model, the method further includes:

and training the interpretation model.

Further, training the interpretation model comprises:

acquiring data required by training, and dividing the data into a training set and a test set;

inputting the training set into the interpretation model to obtain a training result;

and adjusting the parameters of the interpretation model according to the deviation of the training result and the test set until the deviation meets the set precision requirement.

In a second aspect, an embodiment of the present invention further provides an apparatus for reading a gene chip, the apparatus being built in a chip hybridization apparatus, including:

the target image identification module is used for acquiring a gene chip image to be interpreted through a preset interface connected with the chip hybridization instrument and identifying a target image in the gene chip image;

and the interpretation result output module is used for inputting the target image into the trained interpretation model and acquiring an output interpretation result.

Optionally, the target image recognition module is further configured to:

adjusting the resolution and the size of the gene chip image to a preset size;

Optionally, the target image recognition module is further configured to:

Optionally, the apparatus further comprises a model training module for training the interpretation model.

Optionally, the model training module is further configured to:

In a third aspect, an embodiment of the present invention further provides a computer device for gene chip interpretation, including:

comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the gene chip interpretation method according to any one of the embodiments of the invention.

In a fourth aspect, the present invention further provides a storage medium for gene chip interpretation, on which a computer program is stored, wherein the computer program, when executed by a processing device, implements the gene chip interpretation method according to any one of the embodiments of the present invention.

The embodiment of the invention firstly obtains the gene chip image to be interpreted through the preset interface connected with the chip hybridization instrument, identifies the target image in the gene chip image, inputs the target image into the trained interpretation model and obtains the output interpretation result. According to the gene chip interpretation method provided by the embodiment of the invention, the gene chip interpretation device is embedded into the existing chip hybridization instrument to obtain the gene chip image, and the interpretation model is utilized to carry out intelligent interpretation, so that the automatic interpretation of the gene chip image is realized, the repetitive labor of workers is reduced, and the working efficiency is greatly improved.

Drawings

FIG. 1 is a flowchart of a gene chip interpretation method according to a first embodiment of the present invention;

FIG. 2 is a schematic diagram of a gene chip image and a corresponding target image according to a first embodiment of the present invention;

FIG. 3 is a flowchart of a method for identifying a target image according to a second embodiment of the present invention;

FIG. 4 is a schematic diagram of an image rotation process according to a second embodiment of the present invention;

FIG. 5 is a schematic diagram of a method for determining a top border line according to a second embodiment of the present invention;

FIG. 6 is a schematic structural diagram of an interpretation device of a gene chip according to a third embodiment of the present invention;

fig. 7 is a schematic structural diagram of a computer device in the fourth embodiment of the present invention.

Detailed Description

Example one

Fig. 1 is a flowchart of a gene chip interpretation method according to an embodiment of the present invention, which is applicable to interpretation of a development result of a gene chip, and the method can be executed by a gene chip interpretation device, which can be composed of hardware and/or software, and can be generally integrated into an apparatus having an interpretation function of a gene chip, and the apparatus can be an electronic apparatus such as a server or a server cluster. As shown in fig. 1, the method specifically comprises the following steps:

and 110, acquiring a gene chip image to be interpreted through a preset interface connected with the chip hybridization instrument, and identifying a target image in the gene chip image.

The chip hybridization instrument is an analytical instrument in the medical field, and has the main function of realizing three-dimensional continuous shaking in a constant temperature environment through a special patent technology, so that hybridization liquid in a hybridization box naturally and mildly flows on the surface of a chip to achieve full, uniform and continuous mixing, and optimal fluid dynamics and molecules are provided. The sequencing principle of gene chip is hybridization sequencing, i.e. a method for determining nucleic acid sequence by hybridization with a group of nucleic acid probes with known sequence, the probe of target nucleotide with known sequence is fixed on the surface of a substrate, when the nucleic acid sequence with fluorescent label is complementary matched with the nucleic acid probe at the corresponding position on the gene chip, the position of the probe with strongest fluorescence intensity is determined to obtain a group of probe sequences with complete complementary sequences, so that the sequence of the target nucleic acid can be recombined.

The gene chip image can be an image obtained by developing the gene chip subjected to hybridization sequencing, and the gene chip image can be obtained by developing and shooting by using a chip hybridization instrument. The target image can be an image which is identified by a computer vision means according to the gene chip image and is used for intelligent interpretation.

In this embodiment, the interpretation device of the gene chip can be built into the existing chip hybridization instrument, and the photographed gene chip image can be obtained from the chip hybridization instrument through the preset interface. Fig. 2 is a schematic diagram of a gene chip image and a corresponding target image according to an embodiment of the present invention, as shown in the figure, each small square in the image represents a probe, a dot is a color point after hybridization, a color point appearing in a square indicates that there is hybridization at the probe, and a color depth of a dot can indicate hybridization intensity. After the gene chip image is obtained, a target image for intelligent interpretation can be identified.

And 120, inputting the target image into the trained interpretation model to obtain an output interpretation result.

The interpretation model can be a neural network model, the input of the model is a target image, and the output is the interpretation result of the gene chip. In this embodiment, the interpretation model may determine whether the color development dots exist therein, and the positions and color depths of the color development dots according to the input target image.

In this embodiment, before inputting the target image into the trained interpretation model, the method may further include: and training the interpretation model.

The general process of model training is learning in trial and error, and model parameters are continuously adjusted according to the deviation between the output result and the actual value in the training process until the deviation is smaller than the set threshold value.

Optionally, the manner of training the interpretation model may be: acquiring data required by training, and dividing the data into a training set and a test set; inputting the training set into an interpretation model to obtain a training result; and adjusting the parameters of the interpretation model according to the deviation of the training result and the test set until the deviation meets the set precision requirement.

Specifically, the training set may be a target image identified from the gene chip image, the test set may be data for verifying the training result, and the manual interpretation result of the gene chip image may be marked on the test set data by using a label marking tool. In the training process, the training set is input into the interpretation model to obtain a training result, namely, the result of intelligently interpreting the target image of the input model. Since the model is not trained yet, the training result may have a larger deviation than the test set, and at this time, the model parameters need to be adjusted, where the model parameters may be picture pixels. And adjusting the model parameters until the deviation meets the set precision requirement, and finishing the interpretation model training.

Example two

Fig. 3 is a flowchart of a target image recognition method according to a second embodiment of the present invention, which is applicable to the case of performing target image recognition on a gene chip image. As shown in fig. 3, the method specifically includes the following steps:

and step 111, converting the gene chip image into a binary image through binarization processing.

The Image Binarization (Image Binarization) is a process of setting the gray value of a pixel point on an Image to be 0 or 255, that is, the whole Image presents an obvious black-and-white effect. In digital image processing, binarization of an image can greatly reduce the amount of data in the image, thereby highlighting the contour of an object.

In this embodiment, the gene chip image may be an image captured by a camera on the chip hybridization instrument, and in order to facilitate the interpretation of an accurate output result of the model, the gene chip image may be binarized first, so that the image may be converted into a standardized image that is easy to interpret, thereby reducing noise interference during the model interpretation process.

Optionally, the method for converting the gene chip image into the binary image through the binarization processing may be as follows: adjusting the resolution and size of the gene chip image to a preset size; determining the gray value of each pixel point in the gene chip image, and aiming at each pixel point, if the gray value is greater than or equal to a first set threshold value, making the gray value of the corresponding pixel point be 255, and if the gray value is less than the first set threshold value, making the gray value of the corresponding pixel point be 0; and determining the image with the gray value of 0 or 255 of each pixel point as a binary image.

Specifically, for the convenience of model interpretation, the resolution and size of the image of the gene chip can be converted into the same size, preferably, the resolution size can be 3400 × 4679, and the size can be 2346 × 1775 pixels. Further, a threshold value of the gray scale value may be set, and preferably, the threshold value may be set to 0.4, and for each pixel point in the gene chip image, if the gray scale value is greater than or equal to the threshold value, the gray scale value of the point is reset to 255, and if the gray scale value is smaller than the threshold value, the gray scale value of the point is reset to 0. And after the gray value of each point is adjusted, a binary image can be obtained.

And 112, performing frame identification on the binary image to obtain a target image containing four frame lines.

The frame recognition may be to extract four frames, namely, an upper frame, a lower frame, a left frame and a right frame, of the image by using a computer vision method.

In this embodiment, the border recognition is performed on the binarized image, and the manner of obtaining the target image including four border lines may be: cutting the binary image, removing the edge part in the binary image, and correcting the binary image to a standard position through rotation; identifying lines in the binary image, screening, and reserving the lines with the gray value larger than or equal to a second set threshold value; and determining four frame lines in the binary image, and determining the binary image containing the four frame lines as a target image.

Optionally, after the binarized image is acquired, the edge part in the image may be removed by clipping, and the chip part is retained, so as to eliminate the influence of image edge shadow. And then, carrying out rotation correction on the cut image, wherein the rotation correction process can be that firstly, the deviation angle is increased towards the set direction of the image, then, the image is corrected to the standard position, namely, the deviation angle is increased firstly and then corrected no matter whether the image has deviation with the standard position, and in this way, the slight deviation can be corrected, so that the situation that the deviation angle is too small and cannot be identified is avoided. Fig. 4 is a schematic diagram of an image rotation process according to an embodiment of the present invention, in which the image is corrected to a standard position after rotation.

Furthermore, lines in the image can be identified and screened after the lines are corrected to the standard position, and straight lines in the image can be identified by means of Hough transform and the like and then screened. Preferably, the line threshold may be 0.4, the lines with the gray value less than 0.4 are removed, and then four frame lines in the image are determined.

In this embodiment, the manner of determining the four frame lines in the binarized image may be: respectively determining a first reference line at a set distance below a first black line on the upper side of the binary image and a second reference line at a set distance below a second black line, and if the gray value in the coverage range of the first reference line is zero and the gray value in the coverage range of the second reference line is not zero, determining the second reference line as an upper side frame; respectively determining a third reference line at a set distance to the right of the first black line on the left side of the binary image and a fourth reference line at a set distance to the right of the second black line, and if the gray value in the coverage range of the third reference line is zero and the gray value in the coverage range of the fourth reference line is not zero, determining the fourth reference line as a left side frame; and determining the lower side frame and the right side frame of the target image according to the positions of the upper side frame and the left side frame and the set image size.

Alternatively, the border line may be defined by delineating a reference line. Preferably, the distances between the four black lines on the upper side and the left side of the image and the corresponding reference lines can be 15 pixels each. Fig. 5 is a schematic diagram of a method for determining an upper border line according to an embodiment of the present invention, as shown in the figure, taking determining an upper border line of an image as an example, where distances between two reference lines and a first black line and a second black line on an upper side of the image are d, where d is 15 pixels, and if a gray value in a coverage range of the first reference line is zero and a gray value in a coverage range of the second reference line is not zero, that is, the first reference line does not pass through the vertical black line, and the second reference line passes through the vertical black line, the second reference line is determined as the upper border. Similarly, the left side frame line of the image is also determined in the same manner. Since the image size is determined to be a uniform size, the other two side frame lines can be determined after the upper and left side frame lines are determined.

According to the embodiment of the invention, firstly, a gene chip image is converted into a binary image through binarization processing, and then the binary image is subjected to frame identification to obtain a target image containing four frame lines. According to the target image identification method provided by the embodiment of the invention, the gene chip image is processed by adopting a computer vision method, so that the target image used for inputting the interpretation model can be obtained, and a foundation is provided for the subsequent intelligent interpretation of the chip.

EXAMPLE III

FIG. 6 is a schematic structural diagram of an interpretation device of a gene chip according to a third embodiment of the present invention. As shown in FIG. 6, the gene chip interpretation apparatus comprises: a target image recognition module 210 and an interpretation result output module 220.

And the target image identification module 210 is configured to obtain a gene chip image to be interpreted through a preset interface connected to the chip hybridization instrument, and identify a target image in the gene chip image.

Optionally, the target image recognition module 210 is further configured to:

converting the gene chip image into a binary image through binarization processing; and carrying out frame identification on the binary image to obtain a target image containing four frame lines.

Optionally, the target image recognition module 210 is further configured to:

adjusting the resolution and size of the gene chip image to a preset size; determining the gray value of each pixel point in the gene chip image, and aiming at each pixel point, if the gray value is greater than or equal to a first set threshold value, making the gray value of the corresponding pixel point be 255, and if the gray value is less than the first set threshold value, making the gray value of the corresponding pixel point be 0; and determining the image with the gray value of 0 or 255 of each pixel point as a binary image.

Optionally, the target image recognition module 210 is further configured to:

cutting the binary image, removing the edge part in the binary image, and correcting the binary image to a standard position through rotation; identifying lines in the binary image, screening, and reserving the lines with the gray value larger than or equal to a second set threshold value; and determining four frame lines in the binary image, and determining the binary image containing the four frame lines as a target image.

Optionally, the target image recognition module 210 is further configured to:

respectively determining a first reference line at a set distance below a first black line on the upper side of the binary image and a second reference line at a set distance below a second black line, and if the gray value in the coverage range of the first reference line is zero and the gray value in the coverage range of the second reference line is not zero, determining the second reference line as an upper side frame; respectively determining a third reference line at a set distance to the right of the first black line on the left side of the binary image and a fourth reference line at a set distance to the right of the second black line, and if the gray value in the coverage range of the third reference line is zero and the gray value in the coverage range of the fourth reference line is not zero, determining the fourth reference line as a left side frame; and determining the lower side frame and the right side frame of the target image according to the positions of the upper side frame and the left side frame and the set image size.

And an interpretation result output module 220, configured to input the target image into the trained interpretation model, and obtain an output interpretation result.

Optionally, the model training module is further configured to:

acquiring data required by training, and dividing the data into a training set and a test set; inputting the training set into an interpretation model to obtain a training result; and adjusting the parameters of the interpretation model according to the deviation of the training result and the test set until the deviation meets the set precision requirement.

The device can execute the method provided by the disclosure, and has corresponding functional modules and beneficial effects for executing the method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the foregoing embodiments of the present disclosure.

Example four

Fig. 7 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. FIG. 7 illustrates a block diagram of a computer device 312 suitable for use in implementing embodiments of the present invention. The computer device 312 shown in FIG. 7 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention. Device 312 is a typical companion information determination computing device.

As shown in FIG. 7, computer device 312 is in the form of a general purpose computing device. The components of computer device 312 may include, but are not limited to: one or more processors 316, a storage device 328, and a bus 318 that couples the various system components including the storage device 328 and the processors 316.

Bus 318 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, an enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

Computer device 312 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 312 and includes both volatile and nonvolatile media, removable and non-removable media.

Storage 328 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) 330 and/or cache Memory 332. The computer device 312 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 334 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 7, and commonly referred to as a "hard drive"). Although not shown in FIG. 7, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a Compact disk-Read Only Memory (CD-ROM), a Digital Video disk (DVD-ROM), or other optical media) may be provided. In these cases, each drive may be connected to bus 318 by one or more data media interfaces. Storage 328 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

Program 336 having a set (at least one) of program modules 326 may be stored, for example, in storage 328, such program modules 326 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which may comprise an implementation of a network environment, or some combination thereof. Program modules 326 generally carry out the functions and/or methodologies of embodiments of the invention as described herein.

The computer device 312 may also communicate with one or more external devices 314 (e.g., keyboard, pointing device, camera, display 324, etc.), with one or more devices that enable a user to interact with the computer device 312, and/or with any devices (e.g., network card, modem, etc.) that enable the computer device 312 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 322. Also, computer device 312 may communicate with one or more networks (e.g., a Local Area Network (LAN), Wide Area Network (WAN), etc.) and/or a public Network, such as the internet, via Network adapter 320. As shown, network adapter 320 communicates with the other modules of computer device 312 via bus 318. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the computer device 312, including but not limited to: microcode, device drivers, Redundant processing units, external disk drive Arrays, disk array (RAID) systems, tape drives, and data backup storage systems, to name a few.

The processor 316 executes programs stored in the storage 328 to perform various functional applications and data processing, such as a method for interpreting gene chips according to the above-described embodiments of the present invention.

EXAMPLE five

An embodiment of the present invention provides a computer-readable storage medium having stored thereon a computer program that, when executed by a processing apparatus, implements a method of determining accompanying information as in an embodiment of the present invention. The computer readable medium of the present invention described above may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.

The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: acquiring a gene chip image to be interpreted through a preset interface connected with a chip hybridization instrument, and identifying a target image in the gene chip image; and inputting the target image into the trained interpretation model to obtain an output interpretation result.

Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A gene chip interpretation method, which is applied to a gene chip interpretation device built in a chip hybridization apparatus, comprising:

acquiring a gene chip image to be interpreted through a preset interface connected with the chip hybridization instrument, and identifying a target image in the gene chip image;

2. The method of claim 1, wherein identifying the target image in the gene chip image comprises:

3. The method according to claim 2, wherein converting the gene chip image into a binarized image by a binarization process comprises:

adjusting the resolution and the size of the gene chip image to a preset size;

4. The method according to claim 2, wherein performing border recognition on the binarized image to obtain the target image containing four border lines comprises:

5. The method of claim 4, wherein determining four bounding lines in the binarized image comprises:

6. The method of claim 1, wherein prior to inputting the target image into the trained interpretation model, further comprising:

and training the interpretation model.

7. The method of claim 6, wherein training the interpretation model comprises:

8. An interpretation device of a gene chip, which is built in a chip hybridization apparatus, comprising:

9. A computer device, comprising: comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to realize the method for determining the gene chip according to any one of claims 1 to 7.

10. A computer-readable storage medium on which a computer program is stored, wherein the program, when executed by a processing device, implements the method for interpreting a gene chip according to any one of claims 1 to 7.