Optical-mechanical imaging quality evaluation method based on super-resolution gene sequencer
By developing an evaluation method for the optomechanical imaging quality of super-resolution gene sequencers, the problem of the lack of evaluation standards for SIM optomechanical systems was solved, enabling the detection and feedback of optomechanical imaging quality and ensuring the stability and imaging effect of the optomechanical system.
Patent Information
- Application Number
- CN202310815793.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-07-04
- Publication Date
- 2025-01-07
AI Technical Summary
The existing optomechanical imaging quality evaluation system is mainly based on ordinary wide-field fluorescence microscopy imaging system. It lacks evaluation standards and methods for super-resolution structured illumination microscopy (SIM) optomechanical systems, and therefore cannot guarantee the quality and stability of optomechanical imaging.
This paper provides a method for evaluating the quality of optomechanical imaging based on a super-resolution gene sequencer. By adjusting the optomechanics to achieve the target requirements for moiré fringes, the modulation depth and area of the interference fringes are calculated. Combined with the area of the illumination fringes, a method and process for evaluating the quality of SIM optomechanical imaging are formulated. This includes acquiring and analyzing moiré fringe images at different locations, and locking the optomechanics position to ensure imaging quality.
It enables imaging quality detection and feedback of the SIM optomechanical system, ensuring the stability and imaging quality of the optomechanical system, and improving the optomechanical assembly and imaging effect.
Smart Images

Figure CN119269459A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of imaging quality evaluation, and more specifically, to an optical-mechanical imaging quality evaluation method based on a super-resolution gene sequencer. Background Art
[0002] Structured illumination microscopy (SIM) can provide good resolution (-100nm) based on wide-field imaging. It has the advantages of large-range, high-speed, and high-resolution imaging. It has no specific requirements for fluorescent dyes and requires low light intensity. It is expected to be combined with existing sequencing technology to achieve an increase in sample density and further break through the cost and throughput bottlenecks.
[0003] Compared with ordinary wide-field fluorescence microscopy, the biggest difference of SIM is that its illumination light source is not a light field with uniform intensity, but has a specific spatial distribution, such as a structured light field with a sinusoidal intensity distribution. The difference in its light field parameters is a key factor affecting the imaging quality. Generally speaking, the parameters of the structured light field mainly include initial phase, spatial frequency and modulation depth (modulation depth, referred to as md). Among them, the initial phase and spatial frequency are mainly determined by the structural parameters and component accuracy during system design, and are less affected by the system adjustment error. The modulation depth determines the contrast of the light field interference fringes and is greatly affected by the adjustment difference. The high or low parameters play a decisive role in the pass rate of the system's high-frequency information and the accurate determination of the initial phase, affecting the reconstruction and analysis of the later data. In addition, in practical applications, due to the requirements of the imaging field of view, the structured light area is also used as one of the indicators for measuring the quality of optical-mechanical imaging.
[0004] At present, the imaging methods of some sequencer optical systems are ordinary wide-field fluorescence microscopy, and the relevant optical imaging quality evaluation standards and methods are also based on ordinary microscopy. The evaluation system for super-resolution sequencer optical systems is still blank. Therefore, the construction of standard super-resolution optical system quality evaluation methods and processes has high application value for the installation, optimization, production and application of optical machines. Summary of the invention
[0005] In view of this, in order to solve the above problems, the present invention provides a method for evaluating the quality of optical-mechanical imaging based on a super-resolution gene sequencer, and the technical solution is as follows:
[0006] A method for evaluating the quality of optical-mechanical imaging based on a super-resolution gene sequencer, the method comprising:
[0007] Without installing the tube lens filter and placing the engineering chip, adjust the optical machine so that the moiré fringes in the imaging areas of different channels meet the first target requirement;
[0008] Processing the moiré fringes in the imaging area, adjusting the optical machine so that the interference fringes meet the second target requirement, and recording the optical machine target position of the optical machine at this moment;
[0009] Selecting a plurality of different positions before and after the optical machine target position, and respectively acquiring moiré fringe images at the plurality of different positions, and calculating the interference fringe modulation depths at the different positions based on the moiré fringe images;
[0010] With the tube lens filter installed and the biochip placed, imaging is performed at the several different positions to obtain a biological image;
[0011] Analyzing and processing the biological images at the plurality of different positions to obtain parameter information of the interference fringes respectively;
[0012] According to the target application requirements and in combination with the differences between the parameter information of the interference fringes at the several different positions, after selecting a target position from the several different positions, the optical machine is adjusted to the target state and the optical machine position is locked.
[0013] Preferably, in the above optical-mechanical imaging quality evaluation method, the optical-mechanical device is adjusted so that the moiré fringes of different channel imaging areas meet the first target requirement when the tube lens filter is not installed and the engineering chip is placed, including:
[0014] After the filter on the tube lens in the optical machine is removed and the engineering chip is placed on the adsorption platform and the objective lens is on the focal plane, the optical machine is adjusted so that the moiré fringes in the imaging areas of different channels meet the first target requirement.
[0015] Preferably, in the above optical-mechanical imaging quality evaluation method, adjusting the optical-mechanical system so that the moiré fringes in imaging areas of different channels meet the first target requirement includes:
[0016] The optical machine is adjusted so that the contrast and area of the moiré fringes in the imaging areas of different channels meet the first target requirements.
[0017] Preferably, in the above optical-mechanical imaging quality evaluation method, the processing of the moiré fringes in the imaging area, adjusting the optical machine so that the interference fringes meet the second target requirement, and recording the optical-mechanical target position of the optical machine at this moment, comprises:
[0018] The middle area of the moiré fringes in the imaging area is selected and amplified, and the optical machine is adjusted so that the contrast of the interference fringes reaches the second target requirement.
[0019] Preferably, in the above optical-mechanical imaging quality evaluation method, selecting a plurality of different positions before and after the optical-mechanical target position, and acquiring the moiré fringe images at the plurality of different positions respectively, comprises:
[0020] Two positions are selected before and after the target position of the optical machine, and moiré fringe images at the corresponding positions are obtained.
[0021] Preferably, in the above-mentioned optical-mechanical imaging quality evaluation method, the step of calculating the interference fringe modulation depth at different positions based on the moiré fringe image includes:
[0022] A plurality of regions are selected from the moiré fringe image at the same position, and the modulation depths of the plurality of regions are respectively calculated, and then average processing is performed, and the average processing result is used as the interference fringe modulation depth at the position.
[0023] Preferably, in the above-mentioned optical-mechanical imaging quality evaluation method, the acquired biological images are biological images in different directions or in different phases in the same direction.
[0024] Preferably, in the above optical-mechanical imaging quality evaluation method, after acquiring the biological image, the optical-mechanical imaging quality evaluation method further includes:
[0025] The biological image is subjected to FFT processing to obtain the frequency direction of the interference fringes.
[0026] Preferably, in the above optical-mechanical imaging quality evaluation method, the analyzing and processing of the biological images at the plurality of different positions to obtain the parameter information of the interference fringes respectively includes:
[0027] The biological images at the several different positions are calculated in different regions to obtain the parameter information of the interference fringes respectively.
[0028] Preferably, in the above optical-mechanical imaging quality evaluation method, the parameter information of the interference fringes includes:
[0029] The direction, frequency and modulation depth of the interference fringes.
[0030] Compared with the prior art, the present invention has the following beneficial effects:
[0031] The present invention provides a method for judging the quality of optical-mechanical imaging based on a super-resolution gene sequencer, which adds a SIM imaging quality evaluation method on the basis of the imaging quality judgment standard of an ordinary wide-field fluorescence microscope system. Since the biggest difference between SIM and ordinary fluorescence microscopes at the system level is the difference in illumination light sources, combined with the characteristics of SIM structural light field parameters and the experience of optical-mechanical adjustment in practical applications, the present invention takes the modulation depth of SIM interference fringes as the key measurement index, and combines the area of the illumination fringes to develop a SIM optical-mechanical imaging quality judgment method and process with practical application value, which is conducive to the detection and feedback of the imaging quality of the SIM optical machine during the debugging process and after imaging, so as to ensure the stability and imaging quality of the optical machine. BRIEF DESCRIPTION OF THE DRAWINGS
[0032] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.
[0033] Figure 1 A schematic flow chart of a method for evaluating the quality of optical-mechanical imaging based on a super-resolution gene sequencer provided in an embodiment of the present invention;
[0034] Figure 2 A schematic diagram of moiré fringes obtained during an optical machine debugging process provided by an embodiment of the present invention;
[0035] Figure 3 A graph of image grayscale value changes along the frequency direction in a selected moiré fringe area provided by an embodiment of the present invention;
[0036] Figure 4 A schematic diagram of an image obtained by imaging a biochip provided by an embodiment of the present invention;
[0037] Figure 5 A schematic diagram of an image obtained by performing FFT on a biochip image provided by an embodiment of the present invention;
[0038] Figure 6 A schematic diagram of a structured light frequency direction result obtained by performing region-by-region calculation on an acquired biochip image provided by an embodiment of the present invention;
[0039] Figure 7 A schematic diagram of a structured light spatial frequency result obtained by performing region-by-region calculation on an acquired biochip image provided by an embodiment of the present invention;
[0040] Figure 8A schematic diagram of a structured light modulation depth result obtained by performing region-by-region calculation on an acquired biochip image provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0042] Based on the content recorded in the background technology, it can be known that the existing optical-mechanical imaging quality evaluation systems are all based on ordinary wide-field fluorescence microscopy imaging systems, and mainly include conventional indicators such as modulation transfer function, wavefront analysis, aberration coefficient, and signal-to-noise ratio.
[0043] In other words, there is currently a lack of standards, methods and processes for judging the light field parameters and imaging quality of SIM optical machines, which makes it impossible to guarantee the imaging quality of the optical machine, affecting the test.
[0044] Moreover, during the invention process of the present application, the inventors discovered that the biggest difference between SIM and ordinary wide-field illumination microscopy is that it uses sinusoidal stripes as the illumination light field. The initial phase, spatial frequency and modulation depth (contrast) of the stripes play a decisive role in image quality and data reconstruction. Before testing, it is necessary to ensure that the parameters of the structured light field meet the test standards.
[0045] Based on this, the present application provides a method for judging the quality of optical-mechanical imaging based on a super-resolution gene sequencer, and adds a SIM imaging quality evaluation method on the basis of the imaging quality evaluation standard of an ordinary wide-field fluorescence microscope system. Since the biggest difference between SIM and ordinary fluorescence microscopes at the system level is the difference in illumination light sources, combined with the characteristics of the SIM structural light field parameters and the experience of optical-mechanical adjustment in practical applications, the present invention uses the modulation depth of the SIM interference fringes as the key measurement indicator, combined with the area of the illumination fringes, to develop a SIM optical-mechanical imaging quality evaluation method and process with practical application value, which is conducive to the detection and feedback of the imaging quality of the SIM optical machine during the debugging process and after imaging, so as to ensure the stability and imaging quality of the optical machine.
[0046] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.
[0047] refer to Figure 1 , Figure 1A flow chart of a method for evaluating the quality of optical-mechanical imaging based on a super-resolution gene sequencer provided in an embodiment of the present invention, the method for evaluating the quality of optical-mechanical imaging based on a super-resolution gene sequencer comprising:
[0048] S101: When the tube lens filter is not installed and the engineering chip is placed, adjust the optical machine so that the moiré fringes in the imaging areas of different channels meet the first target requirement.
[0049] Specifically, in this step, after removing the filter on the tube lens in the optical machine, placing the engineering chip on the adsorption platform and making the objective lens on the focal plane, the optical machine is adjusted so that the moiré fringes in the imaging areas of different channels meet the first target requirement, that is, the optical machine is adjusted so that the contrast and area of the moiré fringes in the imaging areas of different channels meet the first target requirement.
[0050] That is to say, remove the filter on the tube lens in the optical path of the optical machine imaging, place the engineering chip (i.e., bare silicon chip) on the adsorption platform and place the objective lens on the focal plane, and use the camera's own software, including but not limited to observing the moiré fringes in the imaging area with the naked eye, that is, observing the contrast of the moiré fringes on the focal plane, i.e., the degree of brightness and coverage, and adjust the optical machine so that the moiré fringes in the imaging areas of different channels reach an optimal contrast and area, even if the optical machine reaches an optimal state.
[0051] refer to Figure 2 , Figure 2 A schematic diagram of a moiré fringe obtained during an optical machine debugging process provided by an embodiment of the present invention, Figure 2 (a) shows the initial moiré fringes obtained under the engineering chip. Figure 2 (b) shows the moiré fringes after adjustment under the engineering chip. Figure 2 (c) shows an enlarged image of the selected area under the engineering chip, for reference Figure 3 , Figure 3 An image grayscale value variation diagram along the frequency direction in a selected moiré fringe region provided by an embodiment of the present invention, namely Figure 3 for Figure 2 The grayscale value variation of the image in the middle (c) area along the frequency direction of the structured light. When the interference effect of different light beams on the focal plane is poor, the contrast of the moiré fringes is weak and the area is small, such as Figure 2 As shown in (a). By adjusting the optical machine, the contrast and area of the moiré fringes are in an optimal state, as shown in Figure 2 As shown in (b).
[0052] S102: Processing the moiré fringes in the imaging area, adjusting the optical machine so that the interference fringes meet the second target requirement, and recording the optical machine target position of the optical machine at this moment.
[0053] Specifically, in this step, the middle area of the moiré fringes in the imaging area is selected and amplified, and the optical machine is adjusted so that the contrast of the interference fringes reaches the second target requirement.
[0054] like Figure 2 As shown in (c), the optical machine is adjusted, including but not limited to observing the interference fringe contrast by naked eyes to make it optimal, obtaining the moiré fringe image at this moment, and recording the optical machine position at this moment as L0.
[0055] S103: Selecting a plurality of different positions before and after the optical machine target position, and obtaining moiré fringe images at the plurality of different positions, respectively, and calculating the interference fringe modulation depths at different positions based on the moiré fringe images. Optionally, selecting two positions before and after the optical machine target position, respectively, and obtaining the moiré fringe images at the corresponding positions.
[0056] Specifically, in this step, several regions are selected from the moiré fringe image at the same position, and the modulation depths of the several regions are calculated respectively, and then average processing is performed, and the average processing result is used as the interference fringe modulation depth at the position.
[0057] By comparing the modulation depth and area of the interference fringes at different optical machine positions, the optical machine can be locked in the best position. In the process of optical machine adjustment, it is inevitable that there will be some misjudgment based on naked eye observation and empirical analysis. In order to improve the judgment accuracy, several different positions are selected before and after the optimal optical machine position to calculate the modulation depth and compare the area. At the same time, for the moiré fringe image obtained at the same optical machine position, several areas can be selected in the image to obtain the modulation depth, and the average processing is used as the modulation depth of the optical machine position to reduce the test error and improve the accuracy.
[0058] The modulation depth determines the contrast of the stripes, so the modulation depth can be equated with the contrast, which can be calculated using formula (1):
[0059]
[0060] Where md is the modulation depth of the interference fringes, P max and P min are the signal strengths of the peak and trough, respectively.
[0061] Optionally, at the optical machine position L 0 Select 2 positions, front and back, and obtain the moiré fringe images at different positions.
[0062] For example, different optical and mechanical positions can be recorded as L 0 , L -1 , L -2 , L 1 , L2 . In the same position, 5 different regions are selected at the center, upper left, upper right, lower left, and lower right of the image, and recorded as R c , R tl , R tr , R bl , R br , the modulation depth of the region can be obtained by the formula (1), which is denoted as md c ,md tl ,md tr ,md bl ,md br , and perform mean processing, such as L 0 The interference fringe modulation depth obtained at position is
[0063] S104: With the tube lens filter installed and the biochip placed, imaging is performed at the plurality of different positions to acquire a bioimage.
[0064] Specifically, the biological images acquired in this step are biological images in different directions and different phases in the same direction. After acquiring the biological images in different directions and different phases in the same direction, the optical-mechanical imaging quality evaluation method further includes: performing FFT processing on the biological images to obtain the frequency direction of the interference fringes.
[0065] That is to say, in this step, the filter in the tube mirror is installed and the biochip is placed, and imaging is performed at several different optical and mechanical positions selected in the above steps. According to the SIM imaging design, biological images in different directions and different phases in the same direction can be obtained, and then the frequency direction of the interference fringes can be obtained after FFT of the image.
[0066] For example, in L 0 , L -1 , L -2 , L 1 , L 2 Imaging was performed at a total of five different optical and mechanical positions to obtain biological images in different directions and different phases in the same direction.
[0067] The optical imaging used in the embodiment of the present invention is set to two different directions (90° apart), three images are collected in each direction, and a total of six images are collected. Figure 2 (b) shows the interference fringe distribution area, cutting out the imaging area of 3300×3300 pixels, referring to Figure 4 , Figure 4 A schematic diagram of an image obtained by imaging a biochip according to an embodiment of the present invention, wherein Figure 4 (a) to (c) are the green light channel images with different phases in the same direction. Figure 4(d) to (e) in the figure are images with different phases in another direction. After performing FFT on them, we can see that the directions of the structured light are 21.2° and 111.2° respectively. Figure 5 As shown, Figure 5 A schematic diagram of an image obtained by performing FFT on a biochip image provided by an embodiment of the present invention, wherein Figure 5 (a) shows Figure 3 The FFT image of (a) is Figure 5 (b) shows Figure 3 The FFT image of (b) is Figure 5 The circle in the figure indicates the frequency of the structured light.
[0068] S105: Analyze and process the biological images at the plurality of different positions to obtain parameter information of the interference fringes respectively.
[0069] Specifically, in this step, the biological images at the plurality of different positions are calculated in different regions to obtain parameter information of the interference fringes respectively. The parameter information of the interference fringes includes: the direction, frequency and modulation depth of the interference fringes.
[0070] According to the interference fringe areas at different positions obtained above, the interference fringe coverage area is selected. The selected image is calculated by region (such as 6×6) to obtain the direction, frequency (or spatial frequency) and modulation depth of the interference fringe.
[0071] For example, the above selected 3300×3300 pixels biochip image is divided into 6×6 regions for calculation to obtain the direction, frequency (or spatial frequency) and modulation depth of the interference fringes. The results are as follows: Figure 6 , Figure 7 and Figure 8 As shown, Figure 6 A schematic diagram of a structured light frequency direction result obtained by performing region-by-region calculation on a biochip image provided by an embodiment of the present invention, that is, Figure 6 For Figure 4 The frequency direction result of the structured light obtained by calculating the area (6×6) is Figure 7 A schematic diagram of a structured light spatial frequency result obtained by performing region-by-region calculation on an acquired biochip image provided by an embodiment of the present invention, namely Figure 7 For Figure 4 The spatial frequency result of structured light obtained by calculating the area (6×6) is Figure 8 A schematic diagram of a structured light modulation depth result obtained by performing region-by-region calculation on an acquired biochip image provided by an embodiment of the present invention, that is, Figure 8 For Figure 4The structured light modulation depth results were calculated by dividing the area (6×6). By comparison, it was found that the structured light direction (the structured light direction of the original image needs to be transformed to -21.2° and 68.8° when fitting to the MATLAB program) and spatial frequency (the structured light frequency is 4 pixels when the optical machine is designed) obtained by biochip image analysis are slightly different from the design parameters and meet the standards. The modulation depth is about 0.28-0.66, and the uniformity is poor, especially in the upper left corner of the second direction, such as Figure 8 shown.
[0072] S106: According to the target application requirements and in combination with the difference between the parameter information of the interference fringes at the several different positions, after selecting a target position from the several different positions, the optical machine is adjusted to a target state, and the optical machine position is locked.
[0073] Specifically, in this step, a comparative analysis is performed based on the differences in parameter information of the interference fringes at the several different positions, and a certain optical machine position is selected for locking based on actual application test requirements to ensure that the SIM optical machine is in a better imaging state.
[0074] It should be noted that, during the above debugging process, the quality of interference fringes of different channels needs to be considered simultaneously, so as to achieve that the modulation depth and area of interference fringes of different channels are both in an optimal state with small differences.
[0075] It should be further explained that, when evaluating and debugging the optical-mechanical interference fringe quality as described above, other conventional imaging quality evaluation and debugging processes also need to be performed to achieve a better optical-mechanical state.
[0076] That is to say, the present application provides an optical-mechanical imaging quality evaluation method based on a super-resolution gene sequencer, which targets the structural parameters, optical-mechanical design and application characteristics of the super-resolution system, and adds a targeted optical-mechanical imaging quality evaluation method and process on the basis of the original imaging quality evaluation standards of ordinary wide-field fluorescence microscopy systems. This is beneficial to the detection and feedback of imaging quality during the debugging process and after imaging of the SIM optical machine, so as to ensure the stability and imaging quality of the optical machine.
[0077] The above is a detailed introduction to the optical-mechanical imaging quality evaluation method based on a super-resolution gene sequencer provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technicians in this field, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.
[0078] It should be noted that each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.
[0079] It should also be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device that includes a series of elements is inherent to the elements, or also includes elements inherent to these processes, methods, articles or devices. In the absence of further restrictions, the elements defined by the sentence "including a..." do not exclude the presence of other identical elements in the process, method, article or device that includes the elements.
[0080] The above description of the disclosed embodiments enables one skilled in the art to implement or use the present invention. Various modifications to these embodiments will be apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A method for evaluating the quality of optical-mechanical imaging based on a super-resolution gene sequencer, characterized in that: The optical-mechanical imaging quality evaluation method comprises: Without installing the tube lens filter and placing the engineering chip, adjust the optical machine so that the moiré fringes in the imaging areas of different channels meet the first target requirement; Processing the moiré fringes in the imaging area, adjusting the optical machine so that the interference fringes meet the second target requirement, and recording the optical machine target position of the optical machine at this moment; Selecting a plurality of different positions before and after the optical machine target position, and respectively acquiring moiré fringe images at the plurality of different positions, and calculating the interference fringe modulation depths at the different positions based on the moiré fringe images; With the tube lens filter installed and the biochip placed, imaging is performed at the several different positions to obtain a biological image; Analyzing and processing the biological images at the plurality of different positions to obtain parameter information of the interference fringes respectively; According to the target application requirements and in combination with the differences between the parameter information of the interference fringes at the several different positions, after selecting a target position from the several different positions, the optical machine is adjusted to the target state and the optical machine position is locked.
2. The optical-mechanical imaging quality evaluation method according to claim 1, characterized in that: The step of adjusting the optical machine so that the moiré fringes in the imaging areas of different channels meet the first target requirement when the tube lens filter is not installed and the engineering chip is placed includes: After the filter on the tube lens in the optical machine is removed and the engineering chip is placed on the adsorption platform and the objective lens is on the focal plane, the optical machine is adjusted so that the moiré fringes in the imaging areas of different channels meet the first target requirement.
3. The optical-mechanical imaging quality evaluation method according to claim 1, characterized in that: The optical adjustment mechanism is used to make the moiré fringes in the imaging areas of different channels meet the first target requirement, including: The optical machine is adjusted so that the contrast and area of the moiré fringes in the imaging areas of different channels meet the first target requirements.
4. The optical-mechanical imaging quality evaluation method according to claim 1, characterized in that: The processing of the moiré fringes in the imaging area, adjusting the optical machine so that the interference fringes meet the second target requirement, and recording the optical machine target position of the optical machine at this moment, includes: The middle area of the moiré fringes in the imaging area is selected and amplified, and the optical machine is adjusted so that the contrast of the interference fringes reaches the second target requirement.
5. The optical-mechanical imaging quality evaluation method according to claim 1, characterized in that: The selecting of a plurality of different positions before and after the optical machine target position and obtaining the moiré fringe images at the plurality of different positions respectively comprises: Two positions are selected before and after the target position of the optical machine, and moiré fringe images at the corresponding positions are obtained.
6. The optical-mechanical imaging quality evaluation method according to claim 1, characterized in that: The calculating the interference fringe modulation depths at different positions based on the moire fringe image comprises: A plurality of regions are selected from the moiré fringe image at the same position, and the modulation depths of the plurality of regions are respectively calculated, and then average processing is performed, and the average processing result is used as the interference fringe modulation depth at the position.
7. The optical-mechanical imaging quality evaluation method according to claim 1, characterized in that: The acquired biological images are biological images in different directions or in different phases in the same direction.
8. The optical-mechanical imaging quality evaluation method according to claim 1, characterized in that: After acquiring the biological image, the optical-mechanical imaging quality evaluation method further includes: The biological image is subjected to FFT processing to obtain the frequency direction of the interference fringes.
9. The optical-mechanical imaging quality evaluation method according to claim 1, characterized in that: The analyzing and processing of the biological images at the plurality of different positions to obtain parameter information of the interference fringes respectively includes: The biological images at the several different positions are calculated in different regions to obtain the parameter information of the interference fringes respectively.
10. The optical-mechanical imaging quality evaluation method according to claim 1, characterized in that: The parameter information of the interference fringes includes: The direction, frequency and modulation depth of the interference fringes.