A test method, apparatus, and electronic equipment for fluorescence image quality detection.

Abstract

This application discloses a testing method, apparatus, and electronic device for fluorescence image quality detection. In this method, a fluorescent reagent is first determined. Based on a specified model, the mixing ratio of the corresponding all-solid-state fluorescent simulation material is calculated. Based on the mixing ratio, the corresponding all-solid-state fluorescent simulation material is prepared and added to grooves of corresponding shapes in a substrate. Fluorescence testing is then performed on the substrate with the added all-solid-state fluorescent simulation material. This method utilizes an all-solid-state fluorescent simulation material, enabling long-term use of the substrate and allowing for rapid, simple, and standardized fluorescence image quality detection in all fluorescence imaging systems.

Description

Technical Field

[0001] This application relates to the field of Internet of Things (IoT) technology, and in particular to a test method, apparatus, and electronic device for fluorescence image quality detection. Background Technology

[0002] Fluorescence imaging technology has advantages in surgical positioning, boundary determination, and the presence of metastatic lesions, making surgery more precise and effective, leading to the increasing use of fluorescence imaging equipment.

[0003] However, fluorescence imaging equipment changes with the use of fluorescence excitation devices, light guides, and imaging devices, which can alter the quality of the fluorescence images and thus affect the surgery. Therefore, it is necessary to conduct regular and irregular testing and calibration of fluorescence imaging equipment in continuous use to ensure that the imaging quality of the imaging device is within the specified requirements.

[0004] The existing testing method involves preparing different concentrations of developer at any time and placing them into different test fixtures for different test contents. Due to limitations in personnel and processes, this method cannot complete the test quickly and conveniently, nor can it guarantee the stability and consistency of the test results. Summary of the Invention

[0005] This application provides a testing method, apparatus, and electronic device for fluorescence image quality detection, which enables rapid, simple, and standardized detection of fluorescence image quality in all fluorescence imaging systems.

[0006] In a first aspect, this application provides a test method for fluorescence image quality detection, the method comprising:

[0007] A fluorescent reagent is determined, and based on a specified model, the mixing ratio of the all-solid-state fluorescent simulation material corresponding to the fluorescent reagent is calculated, wherein the all-solid-state fluorescent simulation material is used for fluorescence testing.

[0008] Based on the aforementioned mixing ratio, a corresponding all-solid-state fluorescent simulation material was prepared.

[0009] The all-solid-state fluorescent simulation material is added to the corresponding shaped groove in the matrix;

[0010] Fluorescence testing was performed on the matrix to which the all-solid-state fluorescent simulation material was added.

[0011] This method utilizes all-solid-state fluorescent simulation materials, enabling long-term use of the substrate and allowing for rapid, simple, and standardized testing of fluorescence image quality in all fluorescence imaging systems.

[0012] In an optional embodiment, before determining the fluorescent reagent, the method further includes:

[0013] To obtain the correspondence between various all-solid-state fluorescent simulation materials with different mixing ratios and real image parameters;

[0014] Based on the aforementioned correspondence, a first curve relating the fluorescence emission flux to the molar mass of the excited light-emitting material is obtained; and

[0015] Calculate the second curve between the hemoglobin and reflective coating concentrations and the fluorescence transmittance curves;

[0016] The first mapping relationship between the first curve and indocyanine green IGC is determined, and the second mapping relationship between IGC and heme and reflective coating concentration is determined through the second curve;

[0017] The specified model is obtained based on the first mapping relationship, the second mapping relationship, and the curve of fluorescence luminous flux versus screen grayscale.

[0018] In one optional embodiment, fluorescence testing is performed on the matrix to which the all-solid-state fluorescent simulating material has been added, including:

[0019] Move the substrate to the designated location;

[0020] The substrate at the designated location is illuminated by a light source, and the fluorescence of the substrate is captured by an image acquisition card to obtain a fluorescence image.

[0021] In an optional embodiment, after obtaining the fluorescence image, the method further includes:

[0022] Image analysis is performed on the obtained fluorescence image to determine the fluorescence intensity in the fluorescence image;

[0023] The test results are obtained based on the fluorescence intensity.

[0024] In one alternative embodiment, the all-solid-state fluorescent simulation material comprises at least an excited-light material, heme, a reflective coating, and a mixed gel.

[0025] In one optional embodiment, the corresponding all-solid-state fluorescent simulation material is prepared based on the mixing ratio, including:

[0026] Based on the mixing ratio and the total amount of substances, determine the mass of the photoexcited substance, the mass of the heme, the mass of the reflective coating, and the mass of the mixed gel.

[0027] Secondly, this application provides a testing device for detecting fluorescence-affected quality, the device comprising:

[0028] A determining unit is used to determine the fluorescent reagent and, based on a specified model, calculate the mixing ratio of the all-solid-state fluorescent simulation material corresponding to the fluorescent reagent, wherein the all-solid-state fluorescent simulation material is used for fluorescence testing;

[0029] The processing unit is used to prepare a corresponding all-solid-state fluorescent simulation material based on the mixing ratio; add the all-solid-state fluorescent simulation material to a groove of a corresponding shape in the substrate; and perform fluorescence testing on the substrate with the added all-solid-state fluorescent simulation material.

[0030] In an optional embodiment, the processing unit is further configured to obtain the correspondence between various mixing ratios of all-solid-state fluorescent simulation materials and real image parameters;

[0031] Based on the aforementioned correspondence, a first curve relating the fluorescence emission flux to the molar mass of the excited light-emitting material is obtained; and

[0032] Calculate the second curve between the hemoglobin and reflective coating concentrations and the fluorescence transmittance curves;

[0033] The first mapping relationship between the first curve and indocyanine green IGC is determined, and the second mapping relationship between IGC and heme and reflective coating concentration is determined through the second curve;

[0034] The specified model is obtained based on the first mapping relationship, the second mapping relationship, and the curve of fluorescence luminous flux versus screen grayscale.

[0035] Thirdly, this application provides an electronic device, comprising:

[0036] Memory, used to store computer programs;

[0037] When the processor executes the computer program stored in the memory, it implements the above-described steps of a test method for detecting fluorescence image quality.

[0038] Fourthly, this application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the above-described test method steps for fluorescence image quality detection.

[0039] For the various aspects of the second to fourth aspects mentioned above, and the technical effects that each aspect may achieve, please refer to the above description of the technical effects that can be achieved for the first aspect or the various possible solutions in the first aspect, which will not be repeated here. Attached Figure Description

[0040] Figure 1 A flowchart of a test method for fluorescence image quality detection provided in this application;

[0041] Figure 2 A schematic diagram of the matrix structure provided in this application;

[0042] Figure 3 This is a schematic diagram of the testing tooling system provided in this application;

[0043] Figure 4 A schematic diagram of a testing device for detecting fluorescence image quality provided in the application;

[0044] Figure 5 A schematic diagram of the structure of an electronic device provided for the application. Detailed Implementation

[0045] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The specific operational methods in the method embodiments can also be applied to the device embodiments or system embodiments. It should be noted that in the description of this application, "multiple" is understood as "at least two". "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. A connected to B can represent: A and B directly connected, and A and B connected through C. Furthermore, in the description of this application, terms such as "first" and "second" are used only for distinguishing the purpose of description and should not be construed as indicating or implying relative importance or order.

[0046] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0047] Firstly, fluorescence imaging equipment undergoes changes depending on the use of the fluorescence excitation device, light guide device, and camera device. These changes alter the quality of the fluorescence image, thus affecting the surgery. Therefore, it is necessary to conduct regular and irregular testing and calibration of continuously used fluorescence imaging equipment to ensure that the imaging quality of the camera device is within the specified requirements.

[0048] The existing testing method involves preparing different concentrations of developer at any time and placing them into different test fixtures for different test contents. Due to limitations in personnel and processes, this method cannot complete the test quickly and conveniently, nor can it guarantee the stability and consistency of the test results.

[0049] To address the aforementioned technical problems, this application provides a testing method for fluorescence image quality detection. In this method, a fluorescent reagent is first determined. Based on a specified model, the mixing ratio of the corresponding all-solid-state fluorescent simulation material is calculated. Based on this mixing ratio, the corresponding all-solid-state fluorescent simulation material is prepared and added to grooves of corresponding shapes in a substrate. Fluorescence testing is then performed on the substrate with the added all-solid-state fluorescent simulation material. This method utilizes an all-solid-state fluorescent simulation material, enabling long-term use of the substrate and allowing for rapid, simple, and standardized fluorescence image quality detection in all fluorescence imaging systems.

[0050] Reference Figure 1 The diagram shows a flowchart of a fluorescence image quality detection test method provided in this application, the method comprising:

[0051] S1, determine the fluorescent reagent, and calculate the mixing ratio of the all-solid-state fluorescent simulation material corresponding to the fluorescent reagent based on the specified model;

[0052] Firstly, in this embodiment of the application, for the fluorescence detection project, a set of all-solid-state fluorescent simulation materials is required. By changing the composition ratio of the all-solid-state fluorescent simulation materials, for example, an indocyanine green IGC solution of a certain concentration of an all-solid-state simulation material, the proportions of the all-solid-state fluorescent simulation materials used are shown in Table 1:

[0053] A(nM) B(ug / g) C(mg / g) D(mL) 20 20 1.33 0.6

[0054] Table 1

[0055] In Table 1, A represents the photosensitive substance, B represents heme, C represents reflective coating, and D represents the mixed gel. The approximate mixing ratios for practical use are: A: 5–200 nM, B: 10–80 ug / g, C: 0.2–10 mg / g, and D: the volume is determined by the shape, generally 0.4–4 mL.

[0056] All-solid-state fluorescent simulants exhibit stimulated fluorescence emission characteristics similar to the fluorescent reagents they simulate, meaning they exhibit the characteristic of emitting fluorescence at the same wavelength when stimulated to emit light of a specific wavelength. Furthermore, by changing the concentration of the fluorescent simulant in the mixture, a concentration-stimulated emission luminous flux curve similar to that of the simulated fluorescent reagent can be obtained.

[0057] Substances B and C are mainly used to simulate human tissue, possessing optical transmittance, absorption, and scattering rates similar to those of human tissue. Substance D is a binder and molding agent, primarily serving to bond and shape the material.

[0058] In the actual production process, various substances are mixed together in the required proportions and stirred according to certain environmental and process requirements. Under certain conditions, the mixture is poured into a molding mold of the corresponding shape and cooled to solidify, thus obtaining a fully solid fluorescent simulation material.

[0059] In the embodiments of this application, the mixing ratio of all-solid-state fluorescent simulation materials can be determined by establishing a specified model.

[0060] Specifically, the process involves obtaining the correspondence between various mixing ratios of all-solid-state fluorescent simulation materials and real-world image parameters; based on this correspondence, obtaining a first curve relating fluorescence emission flux to the molar mass of the excited light-emitting material; calculating a second curve relating heme, reflective coating concentration, and fluorescence transmittance; determining a first mapping relationship between the first curve and indocyanine green (IGC), and using the second curve to determine a second mapping relationship between IGC and heme and reflective coating concentration; and obtaining the specified model based on the first mapping relationship, the second mapping relationship, and the curves relating fluorescence flux to screen grayscale.

[0061] For example, in the embodiments of this application, the luminance of stimulated fluorescence emission of different fluorescent reagents, concentrations, and tissue depths can be simulated, and these data can be collected to establish corresponding mathematical models. Specifically, through a large number of well-designed experiments with different substance ratios, including but not limited to the ratio of different amounts of substances, changes in display image parameters (such as brightness, grayscale, etc.), the corresponding linear or nonlinear relationships between various parameters, and confidence analysis of experimental data, numerical curves 1 (molar mass of substance A - stimulated fluorescence emission luminous flux), 2 (concentration of B and C - fluorescence transmittance), and 3 (fluorescence luminous flux - screen grayscale) can be established, etc.

[0062] It's important to clarify that all numerical curves are obtained by setting different independent variables (e.g., molar mass of substance A, concentrations of substances B and C, fluorescence flux), and then experimentally measuring the corresponding strain values ​​(e.g., fluorescence emission flux, fluorescence transmittance curve, screen grayscale). Based on these experimental data, several data points can be determined in a two-dimensional coordinate system. Then, software such as Matlab is used to fit the data to obtain a fitting formula, and the confidence level is verified. Once the data reliability is acceptable, the numerical curve can be confirmed as acceptable.

[0063] By using the numerical correspondence curves obtained from these experiments, an empirical mathematical model based on the experimental results can be established. One implementation scheme is as follows:

[0064] In this mathematical model, since ICG emits fluorescence when excited at different concentrations, curve 1 reflects the ICG concentration (hereinafter referred to as xICG) onto the molar mass (Ma) of substance A. Because substances B and C, at different concentrations, simulate the optical absorption and scattering properties of human tissue, curve 2 establishes a mapping relationship between the depth of ICG in the human body (distance h from the surface of the observed human tissue) and the concentrations of substances B and C (Cb, Cc). Combining these two mapping relationships, it can be derived that the solution of the fluorescent reagent (ICG) and its depth in the human body (distance from the surface of the observed human tissue) can be mapped to the mixing ratio of solid substances (xICG, h) → f(Ma, Cb, Cc). The volume and mass of substance D can then be determined based on the required volume.

[0065] Thus, when it is necessary to simulate the fabrication of a test phantom of a certain concentration of ICG at a specific depth in human tissue, the volume and mass of D can be calculated first, and Ma, Cb, and Cc can be obtained through the refractive relation. Then, Ma is multiplied by the molecular weight of A to obtain the mass of A; B and C are obtained by multiplying the total mass by the depth to obtain their respective required masses. A high-precision electronic scale can then be used to weigh the materials and fabricate them into the required shape according to a specific process.

[0066] Finally, after A, B, C, and D are determined and manufactured, they can be tested and verified using optical detection via curve 3.

[0067] Secondly, prepare the fluorescent reagents for testing. Select a specific fluorescent agent, such as ICG solution, according to the testing requirements, and prepare different concentrations of fluorescent agents as needed. Then, based on the previously established mathematical model, select appropriate proportions to mix and prepare the fluorescent agents corresponding to different concentrations. After preparation, calibrate each agent individually, and input the calibration data into the testing software. Finally, determine the mixing ratio of the all-solid-state fluorescent simulation material using the testing software.

[0068] S2, based on the mixing ratio, produces the corresponding all-solid-state fluorescent simulation material;

[0069] In the actual production process, based on the determined mixing ratio of the all-solid-state fluorescent simulation material, the mass of the excited light material, the mass of the heme, the mass of the reflective coating, and the mass of the mixed gel are determined.

[0070] According to the mass of each substance, the various substances are mixed together and stirred according to certain environmental and process requirements. Under certain conditions, the mixture is poured into a molding mold of the corresponding shape and cooled to solidify, thus obtaining a fully solid fluorescent simulation material.

[0071] S3, add the all-solid-state fluorescent simulation material to the corresponding shaped groove in the matrix;

[0072] After obtaining the all-solid-state fluorescent simulation material according to the mixing ratio, the all-solid-state fluorescent simulation material is added to, for example... Figure 2 The groove in the substrate shown.

[0073] It should be noted that various grooves of different shapes are set in the grooves of the substrate, such as... Figure 2 The substrate shown features circular grooves of different radii, polygonal grooves of different sizes, and rectangular grooves of different lengths. These different groove shapes can meet various testing requirements.

[0074] S4, fluorescence testing was performed on the matrix with added all-solid-state fluorescent simulation material.

[0075] Specifically, in this embodiment, the substrate is made of black opaque plastic material, and the substrate has different proportions depending on the field of view size of the lens being tested, as shown in the reference. Figure 3 The image shows a testing fixture system with an aspect ratio of 16:9. Figure 3 It includes a computer, an image acquisition card, a fluorescence camera system to be tested, an illumination source, a motion controller, and a two-dimensional translation stage.

[0076] The top of the substrate is a transparent cover plate for sealing, which mainly serves to prevent water and moisture, and to give the all-solid fluorescent simulation material in the substrate good long-term stability.

[0077] exist Figure 3 In the middle, there is a two-dimensional translation stage: it carries the fluorescent test phantom and receives instructions to move the phantom to the designated position.

[0078] Z-axis translation stage: This stage can mount and fix the lens of the fluorescence imaging system under test. The stage has a rotating mechanism to fix the lens of the system under test at different viewing angles for testing purposes. The translation stage receives commands and moves the lens of the system under test to a specified height.

[0079] Illumination source: Divided into white light source and fluorescent excitation light source, used for illuminating and exciting fluorescent reagents to produce fluorescent emission light. The brightness and intensity of the light source can be changed according to instructions. Alternatively, the illumination system of the fluorescence imaging system under test can be used for illumination and fluorescence excitation.

[0080] Image acquisition card: Used to connect to and receive images captured by the fluorescence imaging system under test, and transmit them to the monitor and computer. It also receives instructions to save the acquired images, record video, and perform other functions.

[0081] Computer: Responsible for software operation and data analysis and calculation.

[0082] Motion controller: Responsible for sending and receiving instructions for the motion and action system of the entire system.

[0083] pass Figure 3 The test system shown can place the substrate and the fluorescence imaging system under test into the corresponding positions of the test fixture. The operator only needs to follow the software steps to operate and confirm, and the performance test of the fluorescence image can be completed. The test results are calculated by the software in the computer.

[0084] The above-described testing methods can not only test the imaging quality of the current fluorescence camera system, but also show the long-term changing trend of the fluorescence camera system by plotting test curves, so as to make plans for replacing spare parts.

[0085] Based on the same inventive concept, this application also provides a testing device for detecting fluorescence-affected quality, referring to... Figure 4 The diagram shown is a structural schematic of a fluorescence-affected quality detection testing device provided in this application. The device includes:

[0086] The determining unit 401 is used to determine the fluorescent reagent and, based on a specified model, calculate the mixing ratio of the all-solid-state fluorescent simulation material corresponding to the fluorescent reagent, wherein the all-solid-state fluorescent simulation material is used for fluorescence testing.

[0087] Processing unit 402 is used to prepare a corresponding all-solid-state fluorescent simulation material based on the mixing ratio; add the all-solid-state fluorescent simulation material to a groove of a corresponding shape in the substrate; and perform fluorescence testing on the substrate with the all-solid-state fluorescent simulation material added.

[0088] Furthermore, in this embodiment of the application, the processing unit 402 is also used to obtain the correspondence between various mixing ratios of all-solid-state fluorescent simulation materials and real image parameters;

[0089] Based on the aforementioned correspondence, a first curve relating the fluorescence emission flux to the molar mass of the excited light-emitting material is obtained; and

[0090] Calculate the second curve between the hemoglobin and reflective coating concentrations and the fluorescence transmittance curves;

[0091] The first curve, the second curve, and the curve of fluorescence luminous flux versus screen grayscale are calculated to obtain the specified model.

[0092] Based on the same inventive concept, this application also provides an electronic device that can perform the functions of the aforementioned fluorescence image quality detection testing device. (Refer to...) Figure 5 The electronic device includes:

[0093] At least one processor 501 and a memory 502 connected to at least one processor 501. In this embodiment, the specific connection medium between the processor 501 and the memory 502 is not limited. Figure 5 The example shown is the connection between processor 501 and memory 502 via bus 500. Bus 500 is... Figure 5 The connections between other components are indicated by thick lines and are for illustrative purposes only, not as limiting information. The Bus 500 can be divided into address bus, data bus, control bus, etc., for ease of representation. Figure 5 The term 501 is represented by a single thick line, but this does not imply that there is only one bus or one type of bus. Alternatively, the processor 501 can also be called a controller; there is no restriction on the name.

[0094] In this embodiment, the memory 502 stores instructions executable by at least one processor 501. By executing the instructions stored in the memory 502, the at least one processor 501 can perform a fluorescence image quality detection test method as described above. The processor 501 can implement... Figure 5 The functions of each module in the device shown.

[0095] The processor 501 is the control center of the device. It can connect to various parts of the control device through various interfaces and lines. By running or executing instructions stored in memory 502 and calling data stored in memory 502, the processor can perform various functions and process data, thereby monitoring the device as a whole.

[0096] In one possible design, processor 501 may include one or more processing units. Processor 501 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may also not be integrated into processor 501. In some embodiments, processor 501 and memory 502 may be implemented on the same chip; in some embodiments, they may also be implemented on separate chips.

[0097] Processor 501 can be a general-purpose processor, such as a central processing unit (CPU), digital signal processor, application-specific integrated circuit, field-programmable gate array or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the fluorescence image quality detection test method disclosed in the embodiments of this application can be directly manifested as being executed by a hardware processor, or executed by a combination of hardware and software modules within the processor.

[0098] Memory 502, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. Memory 502 may include at least one type of storage medium, such as flash memory, hard disk, multimedia card, card-type memory, random access memory (RAM), static random access memory (SRAM), programmable read-only memory (PROM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), magnetic storage, magnetic disk, optical disk, etc. Memory 502 can be any other medium capable of carrying or storing desired program code in the form of instructions or data structures that can be accessed by a computer, but is not limited thereto. In the embodiments of this application, memory 502 can also be a circuit or any other device capable of implementing storage functions for storing program instructions and / or data.

[0099] By designing and programming the processor 501, the code corresponding to the fluorescence image quality detection test method described in the foregoing embodiments can be embedded into the chip, enabling the chip to execute the code during operation. Figure 1 The illustrated embodiment presents the steps of a test method for fluorescence image quality detection. How to design and program the processor 501 is a technique well-known to those skilled in the art and will not be described further here.

[0100] Based on the same inventive concept, embodiments of this application also provide a storage medium storing computer instructions that, when executed on a computer, cause the computer to perform a test method for fluorescence image quality detection as described above.

[0101] In some possible implementations, various aspects of the fluorescence image quality detection test method provided in this application can also be implemented in the form of a program product, which includes program code. When the program product is run on a device, the program code is used to cause the control device to perform the steps in the fluorescence image quality detection test method according to the various exemplary embodiments of this application described above.

[0102] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0103] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0104] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0105] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0106] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A test method for fluorescent image quality detection, characterized by, The method includes: A fluorescent reagent is determined, and based on a specified model, the mixing ratio of the all-solid-state fluorescent simulation material corresponding to the fluorescent reagent is calculated, wherein the all-solid-state fluorescent simulation material is used for fluorescence testing. Based on the aforementioned mixing ratio, a corresponding all-solid-state fluorescent simulation material was prepared. The all-solid-state fluorescent simulation material is added to the corresponding shaped groove in the matrix; Fluorescence testing was performed on the matrix to which the all-solid-state fluorescent simulation material was added; Before determining the fluorescent reagent, the method also includes determining the mixing ratio of the all-solid-state fluorescent simulation material by establishing a specified model: To obtain the correspondence between various all-solid-state fluorescent simulation materials with different mixing ratios and real image parameters; Based on the aforementioned correspondence, a first curve relating the fluorescence emission flux to the molar mass of the excited light-emitting material is obtained; and Calculate the second curve between the hemoglobin and reflective coating concentrations and the fluorescence transmittance curves; The first mapping relationship between the first curve and indocyanine green IGC is determined, and the second mapping relationship between IGC and heme and reflective coating concentration is determined through the second curve; The specified model is obtained based on the first mapping relationship, the second mapping relationship, and the curve of fluorescence luminous flux versus screen grayscale. Based on the established specified model, select all-solid-state fluorescent simulation materials with different mixing ratios and match them one-to-one with fluorescent agents of different concentrations. After the materials are produced, calibrate them one-to-one with the fluorescent agents, input the calibration data into the testing software, and determine the mixing ratio of the all-solid-state fluorescent simulation materials.

2. The method of claim 1, wherein, Fluorescence testing was performed on the matrix to which the all-solid-state fluorescent simulating material was added, including: Move the substrate to the designated location; The substrate at the designated location is illuminated by a light source, and the fluorescence of the substrate is captured by an image acquisition card to obtain a fluorescence image.

3. The method of claim 2, wherein, After obtaining the fluorescence image, the method further includes: Image analysis is performed on the obtained fluorescence image to determine the fluorescence intensity in the fluorescence image; The test results are obtained based on the fluorescence intensity.

4. The method of claim 1, wherein, The all-solid-state fluorescent simulation material includes at least an excited light-emitting substance, heme, reflective coating, and mixed gel.

5. The method of claim 4, wherein, Based on the aforementioned mixing ratio, a corresponding all-solid-state fluorescent simulation material is prepared, including: Based on the mixing ratio and the total amount of substances, determine the mass of the photoexcited substance, the mass of the heme, the mass of the reflective coating, and the mass of the mixed gel.

6. A test device for fluorescence influenced quality detection, characterized in that The device includes: A determining unit is used to determine the fluorescent reagent and, based on a specified model, calculate the mixing ratio of the all-solid-state fluorescent simulation material corresponding to the fluorescent reagent, wherein the all-solid-state fluorescent simulation material is used for fluorescence testing; The processing unit is used to prepare a corresponding all-solid-state fluorescent simulation material based on the mixing ratio; add the all-solid-state fluorescent simulation material to a groove of a corresponding shape in the substrate; and perform fluorescence testing on the substrate with the all-solid-state fluorescent simulation material added. Before determining the fluorescent reagent, the mixing ratio of the all-solid-state fluorescent simulation material is also determined by establishing a specified model. The processing unit is also used to obtain the correspondence between various mixing ratios of all-solid-state fluorescent simulation materials and real image parameters; Based on the aforementioned correspondence, a first curve relating the fluorescence emission flux to the molar mass of the excited light-emitting material is obtained; and Calculate the second curve between the hemoglobin and reflective coating concentrations and the fluorescence transmittance curves; The first mapping relationship between the first curve and indocyanine green IGC is determined, and the second mapping relationship between IGC and heme and reflective coating concentration is determined through the second curve; The specified model is obtained based on the first mapping relationship, the second mapping relationship, and the curve of fluorescence luminous flux versus screen grayscale. Based on the established specified model, select all-solid-state fluorescent simulation materials with different mixing ratios and match them one-to-one with fluorescent agents of different concentrations. After the materials are produced, calibrate them one-to-one with the fluorescent agents, input the calibration data into the testing software, and determine the mixing ratio of the all-solid-state fluorescent simulation materials.

7. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, when executing a computer program stored in the memory, implements the method of any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method described in any one of claims 1-5.

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