Concentration detection device and method based on fluorescent probe

Abstract

The invention discloses a concentration detection device and method based on a fluorescent probe, and relates to the field of content detection.The device comprises a light source, an image acquisition module and a concentration detection module; the light source is used for generating exciting light with a corresponding wavelength according to the type of the fluorescent probe, and the exciting light enters a to-be-detected sample in which the fluorescent probe is added in advance; the sample to be detected emits fluorescence under the irradiation of the exciting light; the image acquisition module is used for acquiring a fluorescence image of the sample to be detected; and the concentration detection module is used for extracting feature information of the fluorescence image and obtaining the concentration of the target substance in the sample to be detected according to the feature information and a concentration detection model. According to the method, the concentration of the target substance is obtained by utilizing the fluorescence image feature information and the pre-established concentration detection model, and real-time, rapid and high-precision detection of the concentration of the target substance is realized.

Description

Technical Field

[0001] The present application relates to the field of content detection, and particularly to a concentration detection device and method based on a fluorescence probe. Background Art

[0002] Fluorescence probe detection technology has the characteristics of high selectivity, high sensitivity, easy operation, non-destructive detection, and real-time dynamic detection. It is an important type of molecular chemical sensor that can detect the content of specific elements or compounds, and is widely used in fields such as medicine and food hygiene, providing a basis for disease detection and being widely concerned by the scientific community.

[0003] The core of a fluorescence probe sensor lies in the design and selection of a fluorescent group and a recognition group to obtain the relationship between excitation light of different wavelengths and corresponding response concentrations. In practical applications, it is necessary to obtain the response curve of the fluorescent group of the sensor to the excitation wavelength. However, usually, researchers need to manually detect it using large-scale instruments and spend a lot of time calculating the fitting curve manually, which is time-consuming and uneconomical. In addition, due to problems such as external interference, inaccurate excitation wavelength, inaccurate extraction of fluorescent image features, and few fitting methods, the accuracy cannot be guaranteed, and a complete detection system cannot be formed. Summary of the Invention

[0004] The purpose of the present application is to provide a concentration detection device and method based on a fluorescence probe, which can obtain the concentration of a target substance by using the fluorescent image feature information and a pre-established concentration detection model, and realize real-time, fast, and high-precision detection of the concentration of the target substance.

[0005] To achieve the above purpose, the present application provides the following solutions:

[0006] In a first aspect, the present application provides a concentration detection device based on a fluorescence probe, including: a light source, an image acquisition module, and a concentration detection module;

[0007] The light source is used to generate excitation light of a corresponding wavelength according to the type of the fluorescence probe and irradiate it onto a sample to be measured pre-added with the fluorescence probe; the sample to be measured emits fluorescence under the irradiation of the excitation light;

[0008] The image acquisition module is used to acquire the fluorescence image of the sample to be measured;

[0009] The concentration detection module is used to extract the feature information of the fluorescence image and obtain the concentration of the target substance in the sample to be measured according to the feature information and the concentration detection model; the concentration detection model is a concentration fitting formula established in advance according to a training sample set; the training sample set includes the feature information of multiple samples and the concentration of the target substance in each sample.

[0010] Optionally, the fluorescence probe-based concentration detection device further includes a light source adjustment unit;

[0011] The light source adjustment unit is used to adjust the position and tilt angle of the light source so that the excitation light generated by the light source is incident on the sample to be measured.

[0012] Optionally, the fluorescence probe-based concentration detection device further includes a supplementary light unit;

[0013] The supplementary light unit is used to generate ambient compensation light with a fixed brightness around the sample to be measured.

[0014] Optionally, the concentration detection module includes a preprocessing unit, a feature extraction unit, and a concentration output unit;

[0015] The preprocessing unit is used to perform image size normalization, color space conversion, and brightness equalization processing on the fluorescence image in sequence to obtain an optimized image;

[0016] The feature extraction unit is used to extract features from the optimized image to obtain the feature information;

[0017] The concentration output unit is used to obtain the concentration of the target substance according to the feature information and the concentration detection model.

[0018] Optionally, the fluorescence probe-based concentration detection device further includes a sample carrier module; the sample carrier module is used to place the sample to be measured and control the movement of the sample to be measured.

[0019] Optionally, the sample carrier module includes a sample stage and a motor;

[0020] The sample stage is used to place the sample to be measured;

[0021] The motor is used to control the horizontal movement or rotation of the sample stage.

[0022] Optionally, the fluorescence probe-based concentration detection device further includes a display and interaction module;

[0023] The display and interaction module is connected to the concentration detection module and is used for: displaying the concentration of the target substance; receiving model parameters input by the user and transmitting them to the concentration detection module; the model parameters include the fitting type, fitting initial value, and fitting error of the concentration fitting formula;

[0024] The concentration detection module is further used to establish the concentration fitting formula according to the training sample set and the model parameters.

[0025] Second aspect, the present application provides a concentration detection method based on a fluorescence probe, which is applied to the concentration detection device based on a fluorescence probe described in any one of the above, and includes:

[0026] Using the light source to generate excitation light with a corresponding wavelength according to the type of the fluorescence probe, and incident it on the sample to be measured pre-added with the fluorescence probe; the sample to be measured emits fluorescence under the irradiation of the excitation light;

[0027] Using the image acquisition module to acquire the fluorescence image of the sample to be measured;

[0028] Using the concentration detection module to acquire the characteristic information of the fluorescence image, and obtaining the concentration of the target substance in the sample to be measured according to the characteristic information and the concentration detection model; the concentration detection model is a concentration fitting formula obtained in advance according to the training sample set; the training sample set includes the characteristic information of multiple samples and the concentration of the target substance in each sample.

[0029] Optionally, using the concentration detection module to acquire the characteristic information of the fluorescence image, and obtaining the concentration of the target substance in the sample to be measured according to the characteristic information and the concentration detection model, specifically including:

[0030] Using the preprocessing unit to perform image size normalization, color space conversion, and brightness equalization processing on the fluorescence image in sequence to obtain an optimized image;

[0031] Using the feature extraction unit to extract features from the optimized image to obtain the characteristic information;

[0032] Using the concentration output unit to obtain the concentration of the target substance according to the characteristic information and the concentration detection model.

[0033] Optionally, the establishment process of the concentration fitting formula includes:

[0034] Acquiring the fluorescence images of multiple samples and the concentration of the target substance in each sample;

[0035] Performing image size normalization, color space conversion, and brightness equalization processing on the fluorescence image of each sample in sequence to obtain a sample optimized image;

[0036] Extracting features from each sample optimized image to obtain the characteristic information of the sample;

[0037] Obtaining the concentration fitting formula according to the characteristic information of each sample and the concentration of the target substance in each sample.

[0038] According to the specific embodiments provided by the present application, the present application has the following technical effects:

[0039] The present application provides a concentration detection device and method based on a fluorescence probe. A concentration detection model is stored inside the device. By acquiring the fluorescence image of the sample to be measured and extracting the characteristic information of the fluorescence image, and bringing the characteristic information into the concentration detection model, the real-time and rapid detection of the concentration of the target substance can be realized. For different types of fluorescence probes, the light source can generate excitation light of corresponding wavelengths, avoiding the problem of low prediction accuracy caused by inaccurate excitation wavelengths and achieving high-precision detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0041] Figure 1 It is a schematic diagram of the functional modules of a concentration detection device based on a fluorescence probe provided by an embodiment of the present application;

[0042] Figure 2 It is a schematic diagram of the overall structure of a concentration detection device based on a fluorescence probe provided by an embodiment of the present application;

[0043] Figure 3 It is a schematic diagram of the hardware framework of a concentration detection device based on a fluorescence probe provided by an embodiment of the present application;

[0044] Figure 4 It is a schematic diagram of the structure of the concentration detection module of a concentration detection device based on a fluorescence probe provided by an embodiment of the present application;

[0045] Figure 5 It is an application environment diagram of a concentration detection method based on a fluorescence probe provided by an embodiment of the present application;

[0046] Figure 6 It is a schematic diagram of the flow of a concentration detection method based on a fluorescence probe provided by an embodiment of the present application;

[0047] Figure 7 provided by an embodiment of the present application Figure 6 It is a detailed flow schematic diagram of step 603;

[0048] Figure 8 It is a schematic diagram of the establishment process of a concentration fitting formula provided by an embodiment of the present application;

[0049] Figure 9 It is a schematic diagram of the algorithm framework of a concentration detection method based on a fluorescence probe provided by an embodiment of the present application.

[0050] Reference numerals: 101 - light source, 102 - image acquisition module, 103 - concentration detection module, 201 - light source adjustment unit, 202 - supplementary light unit, 203 - sample carrier module, 204 - display and interaction module, 301 - sample stage, 302 - sample carrier accessories, 303 - motor, 304 - sample stage bracket, 305 - bracket, 401 - pre - processing unit, 402 - feature extraction unit, 403 - concentration output unit, 502 - terminal, 504 - server. Detailed implementation manners

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.

[0052] The present application proposes a concentration detection device and method based on a fluorescent probe, which uses the fluorescent image feature information and a pre - established concentration detection model to obtain the concentration of the target substance, realizing real - time, fast, and high - precision detection of the concentration of the target substance.

[0053] To make the above - mentioned objects, features, and advantages of the present application more obvious and understandable, the present application will be further described in detail below with reference to the accompanying drawings and specific implementation manners.

[0054] In an exemplary embodiment, as Figure 1 shown, a concentration detection device based on a fluorescent probe is provided. The concentration detection device based on a fluorescent probe includes: a light source 101, an image acquisition module 102, and a concentration detection module 103. Among them, the light source 101 is used to generate excitation light with a corresponding wavelength according to the type of the fluorescent probe and irradiate it onto the sample to be measured pre - added with the fluorescent probe; the sample to be measured emits fluorescence under the irradiation of the excitation light. The light source 101 generates excitation light with different wavelengths according to different types of fluorescent probes, making the excitation wavelength more accurate and improving the detection accuracy. The image acquisition module 102 is used to acquire the fluorescent image of the sample to be measured. The concentration detection module 103 is used to extract the feature information of the fluorescent image and obtain the concentration of the target substance in the sample to be measured according to the feature information and the concentration detection model; among them, the concentration detection model is a concentration fitting formula pre - established according to the training sample set; the training sample set includes the feature information of multiple samples and the concentration of the target substance in each sample. The concentration detection model pre - established is stored in the concentration detection module 103. By acquiring the fluorescent image of the sample to be measured and extracting the feature information of the fluorescent image, and bringing the feature information into the concentration detection model, real - time and fast detection of the concentration of the target substance can be realized.

[0055] In an exemplary embodiment, as Figure 2 shown, the fluorescence probe-based concentration detection device further includes a light source adjustment unit 201. The light source adjustment unit 201 is configured to adjust the position and tilt angle of the light source 101 so that the excitation light generated by the light source 101 is incident on the sample to be measured. The light source adjustment unit 201 adjusts the position and tilt angle of the light source 101 to irradiate the sample to be measured more precisely with the excitation light.

[0056] In an exemplary embodiment, as Figure 2 shown, the fluorescence probe-based concentration detection device further includes a supplementary light unit 202. The supplementary light unit 202 is configured to generate ambient compensation light with a fixed brightness around the sample to be measured, ensure fixed lighting, provide a good detection environment, and prevent interference light from appearing.

[0057] In an exemplary embodiment, as Figure 2 shown, the fluorescence probe-based concentration detection device further includes a sample carrier module 203. The sample carrier module 203 is used to place the sample to be measured and control the movement of the sample to be measured. When there are multiple samples to be measured, they can be placed on the sample carrier module simultaneously. By controlling the movement of the sample to be measured through the sample carrier module, fluorescence images of different samples to be measured can be obtained sequentially.

[0058] In an exemplary embodiment, as Figure 2 shown, the fluorescence probe-based concentration detection device further includes a display and interaction module 204. The display and interaction module 204 is connected to the concentration detection module 103 and is configured to: display the concentration of the target substance; receive the model parameters input by the user and transmit them to the concentration detection module 103; wherein, the model parameters include the fitting type, fitting initial value, and fitting error of the concentration fitting formula; the concentration detection module is further configured to establish the concentration fitting formula according to the training sample set and the model parameters. The user can obtain the real-time detection result of the concentration of the target substance through the display and interaction module; or input the relevant parameters of the concentration fitting formula according to actual needs for precise fitting.

[0059] In an exemplary embodiment, as Figure 3As shown in the figure, the image acquisition module 102 is a camera for capturing the fluorescence image of the sample to be measured. The sample stage module 203 includes a sample stage 301 and a motor 303. The sample stage 301 is used to place the sample to be measured; the motor 303 is used to control the rotation of the sample stage 301. The sample stage 301 is placed on the sample stage bracket 304. In this embodiment, the motor 303 is a DC stepper motor, which is fixed on the guide rail or bracket 305 of the sample stage 301 and drives the guide rail through gears to drive the rotation of the sample stage 301. A sample stage accessory 302 is placed on the sample stage 301, and the sample stage accessory 302 can be a sample slide or a sample tube. Multiple sample stage accessories 302 can be placed on the sample stage 301. When there is only one sample to be measured, the sample to be measured can be directly placed on one sample stage accessory 302 to receive the excitation light; when there are multiple samples to be measured, they can be placed on different sample stage accessories 302 in sequence, and the motor 303 controls the rotation of the sample stage 301 to irradiate different samples to be measured with the excitation light to obtain the fluorescence images of different samples to be measured. In this embodiment, the bracket 305 is fixed on the sample stage bracket 304 and is used to place the image acquisition module 102 and the supplementary light unit 202, and can also be used to place the motor 303. In this embodiment, the concentration detection module 103 includes a computer system for driving the image acquisition module 102 and the motor 303 and enabling the interactive setting of the parameters of the concentration fitting formula. In this embodiment, the display and interaction module 204 is used to display the detection results and set the model parameters. The detection results can be notified in various ways, such as directly displaying the results, notifying through a mobile phone, etc.

[0060] In an exemplary embodiment, as Figure 4 shown, the concentration detection module 103 includes a preprocessing unit 401, a feature extraction unit 402, and a concentration output unit 403. Among them, the preprocessing unit 401 is used to perform image size normalization, color space conversion, and brightness equalization processing on the fluorescence image in sequence to obtain an optimized image; the feature extraction unit 402 is used to extract features from the optimized image to obtain feature information; the concentration output unit 403 is used to obtain the concentration of the target substance according to the feature information and the concentration detection model.

[0061] The concentration detection method based on fluorescence probe provided by the embodiment of the present application can be applied to such as Figure 5In the application environment shown. Among them, the terminal 502 communicates with the server 504 through the network. The data storage system can store the data that the server 504 needs to process. The data storage system can be set separately, integrated on the server 504, placed on the cloud or other servers. The terminal 502 can send the fluorescence image of the sample to be measured to the server 504. After receiving the fluorescence image of the sample to be measured, the server 504 extracts the feature information of the fluorescence image, substitutes the feature information into the pre-trained concentration detection model, and obtains the concentration of the target substance in the sample to be measured. The server 504 can feedback the concentration of the target substance in the sample to be measured to the terminal 502. In addition, in some embodiments, the concentration detection method based on the fluorescent probe can also be implemented by the server 504 or the terminal 502 alone. For example, the terminal 502 can directly process the fluorescence image of the sample to be measured, or the server 504 can obtain the fluorescence image of the sample to be measured from the data storage system and process the fluorescence image of the sample to be measured.

[0062] Among them, the terminal 502 can be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, Internet of Things devices, and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart in-vehicle devices, etc. The portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 504 can be implemented by an independent server or a server cluster composed of multiple servers, and can also be a cloud server.

[0063] In an exemplary embodiment, as Figure 6 shown, a concentration detection method based on a fluorescent probe is provided. This method is executed by a computer device, and can be specifically executed by a computer device such as a terminal or a server alone, or jointly executed by a terminal and a server. In the embodiments of the present application, taking this method applied to Figure 5 the server 504 in it as an example for illustration, it includes: Step 601, using the light source 101 to generate excitation light with a corresponding wavelength according to the type of the fluorescent probe, and irradiating the sample to be measured pre-added with the fluorescent probe; the sample to be measured emits fluorescence under the irradiation of the excitation light. Step 602, using the image acquisition module 102 to acquire the fluorescence image of the sample to be measured. Step 603, using the concentration detection module 103 to acquire the feature information of the fluorescence image, and obtaining the concentration of the target substance in the sample to be measured according to the feature information and the concentration detection model; among them, the concentration detection model is a concentration fitting formula pre-obtained according to the training sample set; the training sample set includes the feature information of multiple samples and the concentration of the target substance in each sample.

[0064] In an exemplary embodiment, as Figure 7As shown, the above step 603 can be replaced by the following steps: Step 701, use the preprocessing unit 401 to perform image size normalization, color space conversion, and brightness equalization on the fluorescence image in sequence to obtain an optimized image; Step 702, use the feature extraction unit 402 to extract features from the optimized image to obtain feature information; Step 703, use the concentration output unit 403 to obtain the concentration of the target substance according to the feature information and the concentration detection model.

[0065] In the above step 701, image size normalization aims to reduce the data volume and computational complexity in the subsequent calculation process, thereby improving the operation speed of the overall algorithm. Image size normalization scales the input fluorescence image and adjusts it to a preset resolution size. Color space conversion is to convert from the RGB (Red, Green, Blue) color space to the HSV (Hue, Saturation, Value) color space. Based on experimental verification, compared with the HLS (Hue, Lightness, Saturation) color space, the HSV color space can show better effects in specific application scenarios (such as brightness equalization). Brightness equalization is the value equalization of the HSV color space. In the HSV color space, histogram equalization processing is performed on the V component (i.e., the value component). By stretching the grayscale histogram of the image to cover the entire grayscale range, the brightness distribution of the image is improved, making the image clearer and easier to recognize visually.

[0066] In the above step 702, based on the image processed by the preprocessing unit 401, the principal component analysis method is first used for data dimensionality reduction, and then features after dimensionality reduction are extracted based on a manifold algorithm (such as the local preserving projection algorithm, etc.) to form a transformation matrix, and feature extraction is performed on the optimized image.

[0067] In an exemplary embodiment, as Figure 8 shown, the establishment process of the concentration fitting formula includes: Step 801, obtain the fluorescence images of multiple samples and the concentration of the target substance in each sample; Step 802, perform image size normalization, color space conversion, and brightness equalization on the fluorescence image of each sample in sequence to obtain a sample optimized image; Step 803, extract features from each sample optimized image to obtain the feature information of the sample; Step 804, obtain the concentration fitting formula according to the feature information of each sample and the concentration of the target substance in each sample.

[0068] In an exemplary embodiment, as Figure 9As shown in the figure, the algorithm framework of the concentration detection method based on fluorescence probes proposed in this application includes a concentration fitting formula establishment module and a target substance concentration detection module. Among them, in the concentration fitting formula establishment module, a fluorescence image of multiple samples is obtained by the image acquisition module 102, the fluorescence image is preprocessed by the preprocessing unit 401, and dimensionality reduction feature extraction is performed on the preprocessing result of the fluorescence image in the feature extraction unit 402. The model parameters input by the user are obtained through the display and interaction module 204, and then concentration fitting is performed according to the dimensionality reduction features and the fitting type and fitting initial value input by the user. The concentration fitting effect is judged according to the fitting error input by the user. If the fitting error is greater than the set value, refitting is performed until the fitting error meets the requirements. Refitting includes reselecting the dimensionality reduction dimension, resetting the fitting method, etc. Finally, a concentration fitting formula that meets the requirements is obtained.

[0069] In the target substance concentration detection module, a fluorescence image of the sample to be measured is obtained by the image acquisition module 102, the fluorescence image is preprocessed by the preprocessing unit 401, and dimensionality reduction feature extraction is performed on the preprocessing result of the fluorescence image in the feature extraction unit 402. The extracted feature information is input into the final concentration fitting formula, and the target substance concentration can be obtained.

[0070] This application generates corresponding excitation light wavelengths for different types of fluorescence probes. At the same time, different features are extracted for detection according to the response colors of different fluorescence probes, improving the accuracy of the fitting results. When obtaining the fluorescence image, the supplementary light unit is used to eliminate the influence of interfering light and ensure fixed lighting. When obtaining the concentration fitting formula, the user can manually input the model parameters for precise fitting, improving the accuracy of the fitting formula. The established concentration fitting formula is stored in the concentration detection module. By substituting the feature information of the sample to be measured into the concentration fitting formula, the real-time and rapid detection of the target substance concentration can be realized. Finally, the target substance concentration detection result is output by direct display or mobile phone notification, etc., facilitating result query. The concentration detection device and method based on fluorescence probes proposed in this application can obtain a concentration detection fitting formula more accurately on the premise of avoiding various factors of interference, and at the same time provide a real-time detection platform for high-precision concentration detection, which can be used in scientific research platforms, curve fitting and detection of various fluorescence probes required.

[0071] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data need to comply with relevant regulations.

[0072] Those of ordinary skill in the art can understand that all or part of the processes of implementing the methods in the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, database, or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memories. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0073] The databases involved in the embodiments provided in the present application can include at least one of relational databases and non-relational databases. Non-relational databases can include distributed databases based on blockchain, etc., without limitation. The processors involved in the embodiments provided in the present application can be general-purpose processors, central processors, graphics processors, digital signal processors, programmable logic devices, data processing logics based on quantum computing, etc., without limitation.

[0074] The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered to be within the scope described in this specification.

[0075] In this article, specific examples are used to elaborate on the principles and implementation manners of the present application. The descriptions of the above embodiments are only used to help understand the method and its core idea of the present application; at the same time, for those of ordinary skill in the art, according to the idea of the present application, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present application.

Claims

1. A concentration detection device based on a fluorescence probe, characterized in that, The fluorescence probe-based concentration detection device includes: a light source, an image acquisition module, and a concentration detection module; The light source is used to generate excitation light with a corresponding wavelength according to the type of the fluorescence probe and irradiate the sample to be measured pre-added with the fluorescence probe; the sample to be measured emits fluorescence under the irradiation of the excitation light; The image acquisition module is used to acquire the fluorescence image of the sample to be measured; The concentration detection module is used to extract the feature information of the fluorescence image and obtain the concentration of the target substance in the sample to be measured according to the feature information and the concentration detection model; the concentration detection model is a concentration fitting formula established in advance according to the training sample set; the training sample set includes the feature information of multiple samples and the concentration of the target substance in each sample.

2. The concentration detection device based on a fluorescent probe according to claim 1, wherein The fluorescence probe-based concentration detection device further includes a light source adjustment unit; The light source adjustment unit is used to adjust the position and tilt angle of the light source so that the excitation light generated by the light source irradiates the sample to be measured.

3. The concentration detection device based on a fluorescence probe according to claim 1, wherein The fluorescence probe-based concentration detection device further includes a supplementary light unit; The supplementary light unit is used to generate ambient compensation light with a fixed brightness around the sample to be measured.

4. The concentration detection device based on a fluorescence probe according to claim 1, characterized in that, The concentration detection module includes a preprocessing unit, a feature extraction unit, and a concentration output unit; The preprocessing unit is used to perform image size normalization, color space conversion, and brightness equalization processing on the fluorescence image in sequence to obtain an optimized image; The feature extraction unit is used to extract features from the optimized image to obtain the feature information; The concentration output unit is used to obtain the concentration of the target substance according to the feature information and the concentration detection model.

5. The concentration detection device based on a fluorescence probe according to claim 1, wherein The fluorescence probe-based concentration detection device further includes a sample carrier module; the sample carrier module is used to place the sample to be measured and control the movement of the sample to be measured.

6. The concentration detection device based on a fluorescence probe according to claim 5, wherein The sample carrier module includes a sample carrier table and a motor; The sample carrier table is used to place the sample to be measured; The motor is used to control the horizontal movement or rotation of the sample carrier table.

7. The concentration detection device based on a fluorescence probe according to claim 1, wherein The fluorescence probe-based concentration detection device further includes a display and interaction module; The display and interaction module is connected to the concentration detection module and is used to: display the concentration of the target substance; receive the model parameters input by the user and transmit them to the concentration detection module; the model parameters include the fitting type, fitting initial value, and fitting error of the concentration fitting formula; The concentration detection module is further used to establish the concentration fitting formula according to the training sample set and the model parameters.

8. A concentration detection method based on a fluorescence probe, applied to the concentration detection device based on a fluorescence probe according to any one of claims 1-7, characterized in that, The fluorescence probe-based concentration detection method includes: Using a light source to generate excitation light with a corresponding wavelength according to the type of the fluorescence probe and irradiate the sample to be measured pre-added with the fluorescence probe; the sample to be measured emits fluorescence under the irradiation of the excitation light; Using an image acquisition module to acquire the fluorescence image of the sample to be measured; Using a concentration detection module to acquire the feature information of the fluorescence image and obtain the concentration of the target substance in the sample to be measured according to the feature information and the concentration detection model; the concentration detection model is a concentration fitting formula obtained in advance according to the training sample set; the training sample set includes the feature information of multiple samples and the concentration of the target substance in each sample.

9. The concentration detection method based on a fluorescence probe according to claim 8, wherein The concentration detection module is used to obtain the characteristic information of the fluorescence image, and the concentration of the target substance in the sample to be measured is obtained according to the characteristic information and the concentration detection model, specifically including: The preprocessing unit is used to perform image size normalization, color space conversion and brightness equalization processing on the fluorescence image in sequence to obtain an optimized image; The feature extraction unit is used to extract features from the optimized image to obtain the characteristic information; The concentration output unit is used to obtain the concentration of the target substance according to the characteristic information and the concentration detection model.

10. The concentration detection method based on a fluorescence probe according to claim 8, characterized in that, The establishment process of the concentration fitting formula includes: Obtain the fluorescence images of multiple samples and the concentration of the target substance in each sample; Perform image size normalization, color space conversion and brightness equalization processing on the fluorescence image of each sample in sequence to obtain a sample optimized image; Extract features from each sample optimized image to obtain the characteristic information of the sample; According to the characteristic information of each sample and the concentration of the target substance in each sample, obtain the concentration fitting formula.

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