Optical detection chip and detection system based on self-positioning guidance of machine vision
By adding self-positioning and guided identification markers to the optical detection chip and combining it with a machine vision system, the problems of cumbersome operation and long detection time in biochemical amplification technology have been solved, achieving efficient multi-index and high-throughput biological detection.
Patent Information
- Application Number
- CN202410408909.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-04-07
- Publication Date
- 2026-02-27
- Estimated Expiration
- 2044-04-07
AI Technical Summary
Existing biochemical amplification techniques are cumbersome to operate and take a long time to detect biological samples, making it difficult to achieve high-speed, high-throughput and multi-indicator biological detection.
A machine vision-based self-positioning and guiding optical inspection chip and inspection system are adopted. By adding self-positioning and guiding identification marks on the chip, combined with microscopic imaging and machine vision system, automatic positioning and scanning functions are realized, reducing manual identification and parameter selection.
It improves the level of automation and efficiency of detection, and realizes batch automated detection of multiple samples to be tested on a single detection chip and wide compatibility with chips of different specifications.
Smart Images

Figure CN118275432B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the field of automation control, machine vision / image recognition, biological detection technology, and particularly relates to an optical detection chip and a detection system based on machine vision self-positioning guidance. BACKGROUND
[0002] Biochemical amplification technology plays an important role in biological sample detection, but it has problems such as complicated operation steps and long detection time. Therefore, this technology is not suitable for high-speed, high-throughput and multi-detection index biological detection. Using physical light signal amplification technology to detect biological samples can effectively reduce the operation steps and significantly improve the detection speed, and ultimately realize multi-index and high-throughput biological sample detection. In order to realize batch automatic detection of more samples to be detected on a single detection chip and wide adaptation of different specifications of detection chips in the same detection system, more functions need to be expanded for the detection chip and the detection system, such as adding the model, code and other information of the test chip, and at the same time, machine vision detection is carried out on the detection system to extract these information, guide the automatic positioning and calibration of the moving parts, determine the motion step and the motion direction, and reduce manual identification and detection parameter selection for different detection chips. SUMMARY
[0003] To solve the above technical problems, the present application provides an optical detection chip and a detection system based on machine vision self-positioning guidance, which effectively improves the automation level and detection efficiency.
[0004] In one aspect, to achieve the above object, the present application provides an optical detection chip based on machine vision self-positioning guidance, comprising: a starting detection unit, a detection unit, a sample area unit, a positioning mark unit, a navigation unit and a termination motion unit.
[0005] The starting detection unit is used to read a two-dimensional code pattern and set an identification mark and a spatial scanning step during machine scanning.
[0006] The detection unit is used to position the identification mark, navigate the identification mark and position the sample area.
[0007] The sample area unit is used to provide a sample placement area.
[0008] The positioning mark unit is used to determine the position of the detection unit.
[0009] The navigation unit is used to navigate the next motion direction of the detection unit.
[0010] The termination motion unit is used to terminate the motion of the detection unit.
[0011] The optical detection chip based on machine vision self-positioning guidance provided by the application is characterized in that the identification mark is an identification mark with self-positioning and guidance.
[0012] The optical detection chip based on machine vision self-positioning guidance provided by the application is characterized in that the two-dimensional code pattern includes the model, number, interval and size of the microscopic identification area of the chip.
[0013] The optical detection chip based on machine vision self-positioning guidance provided by the application is characterized in that the pattern on the optical detection chip includes path planning information, which is used to guide the movement of the motion control component in the detection system to the next detection position.
[0014] In another aspect to achieve the above-mentioned purpose, the application further provides a detection system of the optical detection chip based on machine vision self-positioning guidance, which comprises a control and data processing module, a motion module and an imaging module.
[0015] The motion module is used to control the motion of the translation stage to perform the next photographing and update the optical test result.
[0016] The imaging module is used to obtain the moving direction of the sample and the final optical test result when the motion is terminated.
[0017] The control and data processing module of the detection system based on machine vision self-positioning guidance provided by the application comprises a scanning unit and a data processing unit.
[0018] The scanning unit is used to move the translation stage to scan the sample.
[0019] The data processing unit is used to perform image processing on the scanned sample to obtain the direction navigation information in the image and the scanning step length information in the two-dimensional code.
[0020] The motion module of the detection system based on machine vision self-positioning guidance provided by the application comprises a control unit and a communication unit.
[0021] The control unit is used to control the motion of the translation stage so that the microscopic field of view reaches the next area to be detected.
[0022] The communication unit is used to be in communication connection with the control and data processing module.
[0023] The imaging module of the detection system based on machine vision self-positioning guidance provided by the application comprises a photographing unit and a camera driving unit.
[0024] The shooting unit is used for shooting the sample in the direction of the optical detection chip movement.
[0025] The camera driving unit is used for driving the camera to shoot the sample.
[0026] The present application discloses an optical detection chip and a detection system based on machine vision self-positioning guidance. The information of the test chip is written into the chip body, and the motion step and other information in the scanning are provided. Meanwhile, the marking points for positioning and navigation are added in the sample area of the chip, and the motion direction in the detection initial stage and the detection process is guided. For the detection chip, the detection system uses the software and hardware system including microscopic imaging, camera, translation stage, image recognition and translation stage control to realize the extraction of the chip specification, motion direction, scanning step and other information on the detection chip. Meanwhile, the motion control information is transmitted to the motion mechanism translation stage, and finally the automatic positioning and scanning functions are realized. The manual identification and detection parameter selection for different detection chips are reduced, and the automation level and detection efficiency of the detection are effectively improved. BRIEF DESCRIPTION OF DRAWINGS
[0027] The accompanying drawings, which form a part of the present application, are intended to provide further understanding of the present application and are incorporated herein for a purpose of explanations and are not intended as an improper limitation to the present application. In the drawings:
[0028] Figure 1 FIG. 1 is a structural schematic diagram of an optical detection chip based on machine vision self-positioning guidance according to an embodiment of the present application, wherein 1 is a starting detection unit, 2 is a detection unit, 3 is a sample area, 4 is a positioning mark, 5 is a navigation mark, and 6 is a terminal motion mark.
[0029] Figure 2 FIG. 2 is a structural schematic diagram of a detection system based on machine vision self-positioning guidance according to an embodiment of the present application.
[0030] Figure 3 FIG. 3 is an implementation process flow schematic diagram of an optical detection chip and a detection system based on machine vision self-positioning guidance according to an embodiment of the present application. DETAILED DESCRIPTION
[0031] It should be noted that the embodiments and the features in the embodiments in the present application can be combined with each other without conflict. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.
[0032] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a group of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.
[0033] As Figure 1 shown in the embodiment, the optical detection chip based on machine vision self-positioning guide includes a start detection unit, a detection unit, a sample area unit, a positioning mark unit, a navigation unit and a termination motion unit.
[0034] The start detection unit is used to read a two-dimensional code pattern and set an identification mark and a spatial scanning step during machine scanning.
[0035] The detection unit is used to position the identification mark, navigate the identification mark and position the sample area.
[0036] The sample area unit is used to provide a sample placement area.
[0037] The positioning mark unit is used to determine the position of the detection unit.
[0038] The navigation unit is used to navigate the next motion direction of the detection unit.
[0039] The termination motion unit is used to terminate the motion of the detection unit.
[0040] Further, the identification mark is an identification mark with self-positioning and guiding.
[0041] Further, the two-dimensional code pattern includes the model, number, interval and size of the microscopic identification area of the chip.
[0042] Further, the pattern on the optical detection chip includes path planning information for guiding the movement of the motion control component in the detection system to the next detection position.
[0043] The signal and background of the pattern on the detection chip and the optical characteristics of the to-be-detected substance have obvious differences, such as color, contrast and the like under microscopic photography environment. The pattern on the detection chip can be recognized by the machine vision system, and the relative coordinates can be obtained, and compared with the existing parameters for adaptive adjustment.
[0044] As Figure 2 shown in the embodiment, the optical detection chip based on machine vision self-positioning guide includes a start detection unit, a detection unit, a sample area unit, a positioning mark unit, a navigation unit and a termination motion unit.
[0045] The motion module is used to control the motion of the translation stage for the next photographing and update the optical test result.
[0046] The imaging module is used to obtain the movement direction of the sample and the final optical test result when the motion is terminated.
[0047] Further, the control and data processing module comprises a scanning unit and a data processing unit;
[0048] The scanning unit is configured to move the translation stage to scan the sample;
[0049] The data processing unit is configured to perform image processing on the scanned sample, to obtain directional navigation information in the image and scanning step information in the two-dimensional code.
[0050] Further, the motion module comprises a control unit and a communication unit;
[0051] The control unit is configured to control the motion of the translation stage, so that the microscopic field of view reaches the next area to be detected;
[0052] The communication unit is configured to be in communication connection with the control and data processing module.
[0053] Further, the imaging module comprises a shooting unit and a camera driving unit;
[0054] The shooting unit is configured to shoot the sample in the direction of the motion of the optical detection chip;
[0055] The camera driving unit is configured to drive the camera to shoot the sample.
[0056] The detection system can be guided by the positioning / navigation markers on the optical chip to achieve sample positioning and scanning trajectory guidance during scanning. The detection system includes a microscopic imaging and machine vision system. The microscopic imaging system has dark field imaging and fluorescence imaging functions, and can obtain fluorescence or dark field information of the sample to be detected. The machine vision system includes a graphic acquisition camera, an XY two-dimensional electric translation stage, and an upper computer software and an upper computer PC for controlling camera acquisition, image processing, and translation stage motion.
[0057] The detection system software and hardware includes a control and data processing module: a Windows PC, which includes 2D translation stage / camera control and image processing functions. A motion module: a controller + 2D electric displacement stage + upper computer hardware driving and control software. An imaging module: a microscope + a camera + a camera driver. When the entire system is working, the computer upper computer software controls the translation stage to perform scanning motion, stops at the specified position and then takes a photo, then processes the photo results, obtains the optical test results of the sample, and continues to perform translation stage motion and the next photo shooting. The data for the next motion of the translation stage comes from the initialization data or the directional guidance extracted by the image processing of the last time. Figure 1The middle 1 is a starting detection unit, containing a two-dimensional code and a positioning mark. The 2 is a detection unit, containing a positioning mark, a navigation mark and a sample area. The 3 is a sample area. The 4 is a positioning mark, used to determine the position of the detection unit. The 5 is a navigation mark, which is smaller than the positioning mark, indicating the direction of the next movement in the position of the detection unit, such as the navigation mark on the right side of the detection unit, indicating the next movement to the right, and the mark on the top indicating the next movement upward. When the navigation mark is missing, the movement is terminated, i.e. the termination movement mark 6.
[0058] As Figure 3 The application provides an optical detection chip and a detection system based on machine vision self-positioning guidance, and the working process of the implementation includes the following steps:
[0059] S1, power-on self-test, determine the normal function of the camera and the translation stage.
[0060] S2, place the sample in the sample holder position of the detection system, identify the two-dimensional code and the positioning mark point by photographing, and automatically position, i.e. obtain the offset amount by comparing the positioning mark and the standard result, control the movement of the translation stage, so that the to-be-tested area is in the center of the field of view.
[0061] S3, obtain the direction navigation information in the image and the scanning step information in the two-dimensional code, control the movement of the translation stage, and make the microscopic field of view reach the next area to be detected.
[0062] S4, take a picture in the new shooting area, obtain the offset amount by comparing the positioning mark and the standard result, control the movement of the translation stage, so that the to-be-tested area is in the center of the field of view; according to the navigation information (moving direction) obtained by photographing, judge whether the detection translation stage has reached the end, otherwise, take a picture and identify, obtain the image containing the to-be-tested object, and further process.
[0063] S5, according to the moving direction obtained by photographing in S4 and the horizontal and vertical intervals of the microscopic sample area, control the movement of the displacement stage, and then repeat step S4.
[0064] S6, according to the navigation information obtained by photographing, judge whether the detection translation stage has reached the end, if yes, stop moving and shooting.
[0065] The above is only the preferred specific embodiment of the present application, but the protection scope of the present application is not limited to this, any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
Claims
1. An optical inspection system based on machine vision self-positioning guided, characterized in that, The self-positioning guided detection equipment system based on machine vision comprises an optical detection chip carrying a sample and a detection equipment system. The optical detection chip carrying a sample comprises: a starting detection unit, a detection unit, a sample area unit, a positioning marker unit, a navigation unit and a termination movement unit. The starting detection unit comprises a positioning marker and a two-dimensional code pattern. The detection unit is used for providing the positioning marker, the navigation marker and the sample area. The sample area unit is used for providing a sample placement area. The positioning marker unit is used for determining the position of the detection unit. The navigation unit is used for indicating the movement direction to the next detection unit. The termination movement unit is used for terminating the detection.
2. The machine vision-based self-positioning guided optical inspection system of claim 1, wherein, The positioning marker is an identification marker with self-positioning and guiding.
3. The machine vision-based, self-positioning guided optical inspection system of claim 1, wherein, The two-dimensional code pattern comprises the model, the number, the interval and the size of the microscopic identification area of the optical detection chip.
4. The machine vision-based, self-positioning guided optical inspection system of claim 1, wherein, The pattern on the optical detection chip comprises path planning information for guiding the movement of the movement control component in the detection system to the next detection position.
5. A detection apparatus system of a machine vision based self-positioning guided optical detection system according to any one of claims 1-4, characterized in that, The self-positioning guided detection equipment system based on machine vision comprises a control and data processing module, a movement module and an imaging module. The control and data processing module is used for controlling the translation stage to perform scanning movement, stopping at the sample area, taking a photo by the imaging module, processing the photo to obtain the optical test result of the sample. The movement module is used for controlling the movement of the translation stage to take the next photo and update the optical test result. The imaging module is used for taking a photo to obtain a camera image and extracting the movement direction of the translation stage and the final optical test result when the movement is terminated.
6. The self-positioning guided detection equipment system based on machine vision according to claim 5, wherein The control and data processing module comprises a scanning unit and a data processing unit. The scanning unit is used for moving the translation stage to scan the sample. The data processing unit is used for processing the scanned image to obtain the direction navigation information in the image and the scanning step information in the two-dimensional code.
7. The self-positioning guided detection equipment system based on machine vision according to claim 5, wherein The movement module comprises a control unit and a communication unit. The control unit is used for controlling the movement of the translation stage to make the microscopic field reach the next area to be detected. The communication unit is used for being communicatively connected with the control and data processing module.
8. The self-positioning guided detection equipment system based on machine vision according to claim 5, wherein The imaging module comprises a shooting unit and a camera driving unit. The shooting unit is used for shooting the image of the optical detection chip. The camera driving unit is used for driving the camera to shoot the sample.
Citation Information
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