Image enhancement method and wide-field fluorescence imaging system
By acquiring images of fluorescent microspheres in a fluorescence imaging system and calculating the full width at half maximum (FWHM) to construct a point diffusion model, the problem of lengthy processing in existing technologies is solved, and efficient image enhancement is achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- KONFOONG BIOTECH INT
- Filing Date
- 2023-03-15
- Publication Date
- 2026-06-02
AI Technical Summary
Existing wide-field fluorescence imaging systems rely on the three-dimensional light field distribution of fluorescent spheres during image enhancement, resulting in lengthy and inefficient processing.
By acquiring images of fluorescent microspheres on the image plane, calculating the full width at half maximum (FWHM) and constructing a point diffusion model, the processing is simplified, the point diffusion model is directly generated, and the dependence on the three-dimensional light field distribution is reduced.
It achieved good imaging results while simplifying the processing and improving processing efficiency.
Smart Images
Figure CN116452436B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of image processing technology, specifically to an image enhancement method and a wide-field fluorescence imaging system. Background Technology
[0002] The point spread model describes the impulse response of an optical system and plays a crucial role in evaluating its imaging quality. It is widely used in fields such as fluorescence microscopy, deconvolution 3D reconstruction, and Fourier optics. Wide-field fluorescence imaging systems expose the entire sample on the microscope stage to a light source, exciting fluorescence reactions within the sample to capture clear microscopic images. However, due to limitations in the optical structure of fluorescence microscopy systems, their use often results in blurred and noisy images, affecting overall image quality.
[0003] In the prior art, there are already technical solutions for image enhancement using point diffusion models for wide-field fluorescence imaging systems. For example, Chinese patent CN201711352724.2 discloses a method and system for measuring point diffusion models in a wide-field fluorescence microscope. This solution obtains the three-dimensional light field distribution of the fluorescent sphere by capturing a focal stack image of the fluorescent sphere, thereby calculating a three-dimensional point diffusion model for the wide-field fluorescence microscope. This three-dimensional point diffusion model can be used to restore the acquired fluorescence image during actual imaging to obtain better imaging quality.
[0004] However, in actual implementation, the inventors found that the above process requires calculating the three-dimensional light field distribution of the fluorescent sphere and converting it into a two-dimensional point diffusion model at each defocus distance, and then processing it into a three-dimensional point diffusion model based on the energy ratio of the fluorescent sphere at each distance. This process is relatively lengthy and has low processing efficiency. Summary of the Invention
[0005] In view of the above-mentioned problems existing in the prior art, an image enhancement method is provided; on the other hand, a wide-field fluorescence imaging system applying the image enhancement method is also provided.
[0006] The specific technical solution is as follows:
[0007] An image enhancement method suitable for a wide-field fluorescence imaging system, comprising a wide-field fluorescence microscope and a computer device connected to each other, including:
[0008] Fluorescent microspheres are placed on the image plane of the wide-field fluorescence microscope, and images of the fluorescent microspheres are acquired using the wide-field fluorescence microscope.
[0009] The computer device is used to process the image of the microspheres to obtain the full width at half maximum (FWHM) value of the fluorescent microspheres;
[0010] A point diffusion model is constructed in the computer device based on the full width at half maximum (FWHM) value;
[0011] The sample images are acquired using the wide-field fluorescence microscope, and then processed using the computer equipment based on the point diffusion model to obtain enhanced images.
[0012] On the other hand, before setting the fluorescent microspheres, a background image of the image plane is also acquired using the wide-field fluorescence microscope;
[0013] After acquiring the microsphere image using the wide-field fluorescence microscope, the computer device performs noise removal on the microsphere image based on the background image and then outputs the image.
[0014] On the other hand, during the process of acquiring images of the microspheres using the wide-field fluorescence microscope, the wide-field fluorescence microscope sequentially acquires multiple fluorescence images of the fluorescent microspheres;
[0015] The computer device receives each of the fluorescence images sequentially;
[0016] The computer device averages all the fluorescence images and outputs them as the microsphere image.
[0017] On the other hand, the process of the computer device processing the microsphere image also includes:
[0018] The computer device performs morphological processing on the microsphere image to obtain a preprocessed image;
[0019] The computer device selects the target microspheres from the preprocessed image by screening the fluorescent microspheres.
[0020] The computer device generates the full width at half maximum (FWHM) value based on the image data of the target microsphere.
[0021] On the other hand, the process of the computer device screening the fluorescent microspheres also includes:
[0022] The computer device performs connected domain detection on the preprocessed image to obtain multiple connected domains, and removes adjacent fluorescent microspheres based on the connected domains;
[0023] The computer device generates the sphericity of each of the screened fluorescent microspheres;
[0024] The computer device compares the roundness with a preset roundness threshold to remove fluorescent microspheres with roundness less than the roundness threshold;
[0025] The computer device outputs the screened fluorescent microspheres as the target microspheres.
[0026] On the other hand, the process by which the computer device generates the full width at half maximum (FWHM) value based on the image data includes:
[0027] The computer device performs nonlinear least squares fitting on the image data of each target microsphere to obtain the full width at half maximum (FWHM) value of the microsphere.
[0028] The computer device calculates the average of all the full width at half maximum (FWHM) values of the microspheres to obtain the full WHM value.
[0029] On the other hand, the process by which the computer device processes the sample image includes:
[0030] The computer device processes the sample image based on the point diffusion model to obtain the intermediate image for this iteration;
[0031] The computer device generates the evaluation result for this iteration based on the intermediate image, the point spread function, and the sample image;
[0032] The computer device determines whether the intermediate image meets the iteration conditions based on the pre-configured iteration conditions;
[0033] If so, the computer device outputs the intermediate image as the enhanced image;
[0034] If not, the computer device processes the intermediate image based on the point spread model to obtain the intermediate image for the next iteration.
[0035] A wide-field fluorescence imaging system, applying the above-mentioned image enhancement method, includes:
[0036] A wide-field fluorescence microscope, used to acquire sample images;
[0037] A computer device connected to the wide-field fluorescence microscope, the computer device receiving the sample image and processing the sample image based on the image enhancement method to obtain an enhanced image.
[0038] On the other hand, the computer device includes:
[0039] A model building module, which constructs a point diffusion model based on the microsphere images acquired by the wide-field fluorescence microscope;
[0040] An image enhancement module is connected to the model construction module. The image enhancement module processes the sample image according to the point diffusion model to obtain the enhanced image.
[0041] On the other hand, the image enhancement module includes an iterative submodule, which iterates the sample image according to the point diffusion model to obtain the enhanced image.
[0042] The above technical solution has the following advantages or beneficial effects:
[0043] To address the issue that existing fluorescence imaging systems rely heavily on detecting the three-dimensional light field distribution of each fluorescent microsphere during calibration, which involves a relatively complex processing procedure, this solution simplifies the process and improves efficiency by detecting the full width at half maximum (FWHM) of the fluorescent microspheres and using this information to construct a point diffusion model. This achieves better imaging results while simultaneously reducing processing complexity. Attached Figure Description
[0044] Embodiments of the invention will be described more fully with reference to the accompanying drawings. However, the drawings are for illustration and explanation only and do not constitute a limitation on the scope of the invention.
[0045] Figure 1 This is a schematic diagram of a wide-field fluorescence imaging system applicable to embodiments of the present invention;
[0046] Figure 2 This is a flowchart of the image enhancement method according to an embodiment of the present invention;
[0047] Figure 3 This is a schematic diagram of a glass slide in an embodiment of the present invention;
[0048] Figure 4 This is a schematic diagram of sub-step S1 in an embodiment of the present invention;
[0049] Figure 5 This is a flowchart of sub-step S2 in an embodiment of the present invention;
[0050] Figure 6 This is a flowchart of sub-step S22 in an embodiment of the present invention;
[0051] Figure 7 This is a flowchart of sub-step S23 in an embodiment of the present invention;
[0052] Figure 8 This is a flowchart of sub-step S4 in an embodiment of the present invention;
[0053] Figure 9 This is a flowchart of sub-step S43 in an embodiment of the present invention;
[0054] Figure 10 The sample image input in this embodiment of the invention;
[0055] Figure 11 This is an enhanced image obtained by processing a sample image in an embodiment of the present invention;
[0056] Figure 12 This is a schematic diagram of a wide-field fluorescence imaging system in an embodiment of the present invention;
[0057] Figure 13 This is a schematic diagram of a computer device in an embodiment of the present invention. Detailed Implementation
[0058] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0059] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other.
[0060] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but this is not intended to limit the scope of the invention.
[0061] This invention includes:
[0062] An image enhancement method, suitable for, for example Figure 1 The wide-field fluorescence imaging system shown mainly includes a fluorescence microscope 101 for acquiring fluorescence images and a computer device 102 for processing the acquired images. The computer device 102 is pre-configured with a computer program for executing the construction method and for processing the digital images output by the fluorescence microscope 101, including image restoration based on a point diffusion model, processing the images based on other feasible image processing methods, and displaying the images.
[0063] In the aforementioned wide-field fluorescence imaging system, such as Figure 2 As shown, image enhancement methods include:
[0064] Step S1: Place fluorescent microspheres on the image plane of a wide-field fluorescence microscope and acquire images of the microspheres using a wide-field fluorescence microscope;
[0065] Step S2: Use computer equipment to process the microsphere image to obtain the full width at half maximum (FWHM) value of the fluorescent microsphere;
[0066] Step S3: Construct a point diffusion model based on the full width at half maximum (FWHM) in a computer device;
[0067] Step S4: Acquire sample images using a wide-field fluorescence microscope, and then process the sample images using a computer based on a point diffusion model to obtain enhanced images.
[0068] Specifically, addressing the issues of lengthy and inefficient point diffusion model measurement methods in existing technologies, the inventors, through research on the application scenarios of fluorescence imaging systems, discovered that current fluorescence imaging systems, when used for image acquisition of tissue section samples, typically fix the slide on the image plane of the fluorescence microscope. This simplifies the point diffusion model construction process, eliminating the need to rely on the light field distribution of fluorescent microspheres in three-dimensional space. Therefore, in this embodiment, by modifying the point diffusion model construction process, microsphere images of fluorescent microspheres are directly acquired from the image plane, and the microsphere images are processed to obtain the full width at half maximum (FWHM). Subsequently, the point diffusion model is directly generated based on the FWHM, thereby reducing the relatively cumbersome steps in existing technologies, such as determining the three-dimensional light field distribution of fluorescent microspheres and calculating the energy of fluorescent microspheres at various defocus distances, achieving better computational efficiency.
[0069] In the implementation process, the fluorescent microspheres are commercially available small spheres that have undergone fluorescent staining. For example, in one embodiment, polystyrene microspheres filled with fluorescent dye, with a diameter of 100 nm, are selected, which can produce a fluorescent reaction under irradiation by a laser source of a specific wavelength. Before step S1, these fluorescent microspheres have been prefabricated into fluorescent microsphere slides, and the fabrication process can be referred to existing technology, which will not be described in detail here. When the slide is placed on the stage, its structure is as follows: Figure 3 As shown, an immersion layer A4 is disposed between the objective lens A5 and the coverslip A3, and a sample layer A2 for containing fluorescent microspheres is disposed between the slide A1 and the coverslip A3. The microsphere image is a digital image acquired and output by the fluorescence microscope 101 during fluorescence excitation in this state. The computer device 102 receives the microsphere image and processes it to obtain a point diffusion model.
[0070] In one embodiment, a background image is acquired using a wide-field fluorescence microscope image plane before setting the fluorescent microspheres;
[0071] After acquiring microsphere images using a wide-field fluorescence microscope, the computer equipment removes noise from the microsphere images based on the background image before outputting them.
[0072] Specifically, addressing the issue that wide-field fluorescence imaging systems may exhibit noise due to their inherent optical structure, thus affecting the construction of point diffusion models, this embodiment pre-acquires a background image via the image plane before placing the fluorescent microspheres on the stage. During this time, the light source of the fluorescence microscope 101 remains operational to obtain a background image under unexcited fluorescence conditions. This background image contains a certain amount of background noise. Subsequently, after acquiring the microsphere image, the background noise is removed by subtracting the microsphere image from the background image.
[0073] In one embodiment, such as Figure 4 As shown, the process of acquiring microsphere images using a wide-field fluorescence microscope also includes,
[0074] Step S11: Multiple fluorescence images of the fluorescent microspheres are acquired sequentially using a wide-field fluorescence microscope;
[0075] Step S12: The computer device receives each fluorescence image sequentially;
[0076] Step S13: The computer device averages all the fluorescence images and outputs them as microsphere images.
[0077] As an optional implementation, before performing step S13, the computer device also removes the maximum and minimum values from the fluorescence image.
[0078] Specifically, to avoid acquisition errors, in this embodiment, after setting the fluorescent microspheres, the fluorescence images at the same locations are repeatedly acquired, and the maximum and minimum values are removed, followed by averaging to generate microsphere images, thereby achieving a better noise reduction effect.
[0079] As an optional implementation, the same method is used to process the background image.
[0080] As an optional implementation, after acquiring the microsphere image, the microsphere image is binarized to obtain a binarized microsphere image, thereby reducing the amount of data for subsequent processing.
[0081] In one embodiment, such as Figure 5 As shown, the process of computer equipment processing microsphere images also includes:
[0082] Step S21: The computer device performs morphological processing on the microsphere image to obtain a preprocessed image;
[0083] Step S22: The computer device filters the fluorescent microspheres from the preprocessed image to obtain the target microspheres;
[0084] Step S23: The computer device generates the full width at half maximum (FWHM) value based on the image data of the target microsphere.
[0085] Specifically, to achieve a more accurate construction of the point diffusion model, in this embodiment, after acquiring the microsphere image, morphological processing is further applied to the image to make the fluorescent microspheres clearer. Subsequently, to avoid changes in light intensity distribution caused by irregularly shaped, closely adjacent, or adhered fluorescent microspheres, the fluorescent microspheres are further screened to obtain target microspheres. Only the target microspheres are used to generate the full width at half maximum (FWHM) value, thereby achieving a more accurate calculation effect.
[0086] In one embodiment, such as Figure 6 As shown, the process of screening fluorescent microspheres using computer equipment also includes:
[0087] Step S221: The computer device performs connected domain detection on the preprocessed image to obtain multiple connected domains, and removes adjacent fluorescent microspheres based on the connected domains;
[0088] Step S222: The computer device generates the sphericity of each screened fluorescent microsphere;
[0089] Step S223: The computer device compares the roundness with a preset roundness threshold to remove fluorescent microspheres with a roundness less than the roundness threshold;
[0090] Step S224: The computer device outputs the screened fluorescent microspheres as target microspheres.
[0091] Specifically, to achieve better screening results for fluorescent microspheres, this embodiment first obtains multiple connected regions in the preprocessed image through connected region detection. Each generated connected region may contain areas formed by a single fluorescent microsphere and areas formed by multiple adjacent fluorescent microspheres. Then, by determining the area of each connected region, adjacent or even adhered fluorescent microspheres are removed. Subsequently, for each retained fluorescent microsphere, its aspect ratio is calculated to generate a sphericity, and this sphericity is compared with a sphericity threshold to remove irregularly shaped fluorescent microspheres, thereby ensuring that the light intensity distribution of the target microspheres meets expectations.
[0092] In one embodiment, such as Figure 7 As shown, the process by which a computer device generates the full width at half maximum (FWHM) value based on image data includes:
[0093] Step S231: The computer device performs nonlinear least squares fitting on the image data of each target microsphere to obtain the full width at half maximum (FWHM) value of the microsphere;
[0094] Step S232: The computer device calculates the average of all the full width at half maximum (FWHM) values of the microspheres to obtain the full width at half maximum (FWHM) value.
[0095] Specifically, to achieve a better generation effect for the full width at half maximum (FWHM) value, in this embodiment, for each selected target microsphere, nonlinear least squares fitting is performed on the image data of each target microsphere to obtain the FWHM value of each microsphere. Subsequently, the average of all the FWHM values is taken as the output FWHM value, thereby achieving a better calculation effect.
[0096] In one embodiment, the point diffusion model includes:
[0097]
[0098] In the formula, h(x,y) is the point diffusion model, J1 is the first-order Bessel function of the first kind, and F... psf is the full width at half maximum (FWHM), (x0, y0) are the center coordinates of the point diffusion model, and (x, y) are the coordinates of the object under test in the point diffusion model.
[0099] Specifically, in view of the problem that the point diffusion model construction process in the prior art is relatively lengthy, this embodiment selects the first-order Bessel point diffusion model as the point diffusion model of the current fluorescence imaging system, so that the fluorescence imaging system can directly realize the point diffusion model construction process based on the input full width at half maximum (FWHM) value, thereby improving the processing efficiency.
[0100] In one embodiment, such as Figure 8 As shown, the process of computer equipment processing sample images includes:
[0101] Step S41: The computer device processes the sample image based on the point diffusion model to obtain the intermediate image for this iteration;
[0102] Step S42: The computer device generates the evaluation results for this iteration based on the intermediate image, the point spread model, and the sample image;
[0103] Step S43: The computer device determines whether the intermediate image meets the iteration conditions according to the pre-configured iteration conditions;
[0104] If so, the computer device outputs the intermediate image as the enhanced image;
[0105] If not, return to step S41, where the computer device processes the intermediate image based on the point diffusion model to obtain the intermediate image for the next iteration.
[0106] Specifically, to achieve better iterative results for the point diffusion model, in this embodiment, for the input sample image, image enhancement processing is performed on it based on the existing point diffusion model to obtain an intermediate image. The specific steps of this image enhancement processing are existing technologies. Subsequently, processing is performed based on the intermediate image, the point diffusion model, and the sample image to obtain the evaluation result of this iteration.
[0107] Specifically, such as Figure 9 As shown, the calculation steps include the following steps performed sequentially:
[0108] Step S431: Generate intermediate image I k The convolution result of (x,y) with the point spread model h(x,y);
[0109] Step S432: Divide the sample image I0(x,y) by the convolution result to obtain the intermediate variable U.k (x,y);
[0110] Step S433: Generate intermediate variable U k The conjugate convolution of (x,y) with the point spread model h(x,y);
[0111] Step S434: Combine the conjugate convolution with the intermediate image I k Multiply (x, y) to obtain the evaluation result.
[0112] In the formula, k is the number of iterations.
[0113] Based on the above evaluation results, a further comparison with the iteration conditions can be made to determine whether the image enhancement effect of the current point diffusion model meets expectations. If not, the process returns to step S42 until the image enhancement result reaches the expected goal. Since increasing the number of iterations affects the efficiency of image enhancement processing, a suitable number of iterations should be selected based on a trade-off between image quality and processing efficiency. For example, in one embodiment, Figure 10 For the input sample image, Figure 11 This is the enhanced image output after 10 iterations. Based on Figure 10 and Figure 11 As can be seen from the comparison, the enhanced image has higher clarity than the sample image.
[0114] A wide-field fluorescence imaging system, applying the above-mentioned image enhancement method, such as... Figure 12 As shown, it includes:
[0115] Wide-field fluorescence microscope B1 is used to acquire sample images;
[0116] Computer device B2 is connected to a wide-field fluorescence microscope. The computer device receives sample images and processes the sample images based on image enhancement methods to obtain enhanced images.
[0117] Specifically, to achieve better imaging results, in this embodiment, a processing module B2 is connected to the acquisition module B1 to receive fluorescence images. Subsequently, the processing module B2 processes the fluorescence images... Figure 10 The fluorescence image output on the left is processed using a pre-generated point diffusion model to obtain the following result: Figure 10 The enhanced image shown on the right demonstrates good image processing results. Before processing the fluorescence image, processing module B2 pre-generated a point diffusion model using the aforementioned construction method, thus achieving better processing efficiency compared to existing technologies.
[0118] In one embodiment, such as Figure 13 As shown, computer device B2 includes:
[0119] Model building module B21 constructs a point diffusion model based on microsphere images acquired by a wide-field fluorescence microscope;
[0120] Image enhancement module B22 is connected to model construction module B21. Image enhancement module B12 processes the sample image according to the point diffusion model to obtain an enhanced image.
[0121] The image enhancement module B22 includes an iterative submodule B221, which iterates the sample image according to the point diffusion model to obtain the enhanced image.
[0122] Specifically, to achieve better image enhancement, in this embodiment, corresponding computer programs are configured in computer device B2 to construct a model construction module B21, an image enhancement module B22, and an iteration submodule B221. This allows computer device B2 to construct a point diffusion function from the microsphere image input from the wide-field fluorescence microscope B2 before capturing the sample image. When the actual sample image is input, the computer device can iteratively process the sample image using the iteration submodule B221 based on the point diffusion model, thereby obtaining an enhanced image.
[0123] The above are merely preferred embodiments of the present invention and are not intended to limit the implementation methods and protection scope of the present invention. Those skilled in the art should recognize that any equivalent substitutions and obvious changes made based on the description and illustrations of the present invention should be included within the protection scope of the present invention.
Claims
1. An image enhancement method suitable for a wide-field fluorescence imaging system comprising a wide-field fluorescence microscope and a computer device connected to each other, characterized in that, include: Fluorescent microspheres are placed on the image plane of the wide-field fluorescence microscope, and images of the fluorescent microspheres are acquired using the wide-field fluorescence microscope. The computer device is used to process the image of the microspheres to obtain the full width at half maximum (FWHM) value of the fluorescent microspheres; A point diffusion model is constructed in the computer device based on the full width at half maximum (FWHM) value; The sample images are acquired using the wide-field fluorescence microscope, and then the sample images are processed using the computer equipment based on the point diffusion model to obtain enhanced images; The process of the computer device processing the microsphere image also includes: The computer device performs morphological processing on the microsphere image to obtain a preprocessed image; The computer device selects the target microspheres from the preprocessed image by screening the fluorescent microspheres. The computer device generates the full width at half maximum (FWHM) value based on the image data of the target microsphere. The process of the computer device screening the fluorescent microspheres also includes: The computer device performs connected domain detection on the preprocessed image to obtain multiple connected domains, and removes adjacent fluorescent microspheres based on the connected domains; In the process of identifying connected domains, adjacent or adhered fluorescent microspheres are eliminated based on the area of each connected domain; The computer device generates the sphericity of each of the screened fluorescent microspheres; The computer device compares the roundness with a preset roundness threshold to remove fluorescent microspheres with roundness less than the roundness threshold; The computer device outputs the screened fluorescent microspheres as the target microspheres. The process by which the computer device generates the full width at half maximum (FWHM) value based on the image data includes: The computer device performs nonlinear least-squares fitting on the image data of each target microsphere to obtain the full width at half maximum (FWHM) value of the microsphere. The computer device averages all the full width at half maximum (FWHM) values of the microspheres to obtain the full WHM value.
2. The image enhancement method of claim 1, wherein, Before setting the fluorescent microspheres, a background image of the image plane is also acquired using the wide-field fluorescence microscope; After acquiring the microsphere image using the wide-field fluorescence microscope, the computer device performs noise removal on the microsphere image based on the background image and then outputs the image.
3. The image enhancement method of claim 1, wherein, During the acquisition of microsphere images by the wide-field fluorescence microscope, the wide-field fluorescence microscope sequentially acquires multiple fluorescence images of the fluorescent microsphere; The computer device receives each of the fluorescence images sequentially; The computer device averages all the fluorescence images and outputs them as the microsphere image.
4. The image enhancement method of claim 1, wherein, The process by which the computer device processes the sample image includes: The computer device processes the sample image based on the point diffusion model to obtain the intermediate image for this iteration; The computer device generates the evaluation results for this iteration based on the intermediate image, the point diffusion model, and the sample image; The computer device determines whether the intermediate image meets the iteration conditions based on the pre-configured iteration conditions; If so, the computer device outputs the intermediate image as the enhanced image; If not, the computer device processes the intermediate image based on the point spread model to obtain the intermediate image for the next iteration.
5. A wide-field fluorescence imaging system, characterized in that, The image enhancement method described in any one of claims 1-4 includes: A wide-field fluorescence microscope, used to acquire sample images; A computer device connected to the wide-field fluorescence microscope, the computer device receiving the sample image and processing the sample image based on the image enhancement method to obtain an enhanced image.
6. The wide-field fluorescence imaging system of claim 5, wherein, The computer device includes: A model building module, which constructs a point diffusion model based on the microsphere images acquired by the wide-field fluorescence microscope; An image enhancement module is connected to the model construction module. The image enhancement module processes the sample image according to the point diffusion model to obtain the enhanced image.
7. The wide-field fluorescence imaging system of claim 6, wherein, The image enhancement module includes an iterative submodule, which iterates the sample image according to the point diffusion model to obtain the enhanced image.