Cell sample centrifugal treatment system and method based on machine vision
A machine vision and centrifugal processing technology, applied in image data processing, instruments, manipulators, etc., can solve problems such as waste of human and financial resources, damage, cell sample contamination, etc., to improve work efficiency, avoid position deviation, and simplify manual operations.
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Embodiment 1
[0033] In one or more embodiments, a machine vision-based cell sample centrifugation processing system is disclosed, referring to figure 1 ,include:
[0034] A centrifuge, where the test tube boxes of the centrifuge are respectively provided with cards of set colors;
[0035] Image acquisition module, used to acquire centrifuge image;
[0036] The image processing module is used to determine the point coordinates of placing or grabbing the test tube box according to the obtained centrifuge image;
[0037] The intelligent robotic arm module is used to place the test tube box according to the point coordinates.
[0038] Specifically, the centrifuge adopts a standard medical centrifuge, refer to Figure 4 , made a number of white paper cards, and pasted them on the corresponding positions of the centrifuge frame. Since the positions where the cards are placed are brighter, it is very easy to distinguish those positions and their centers in OpenCV.
[0039] The image acquisiti...
Embodiment 2
[0050] In one or more embodiments, a method for centrifuging cell samples based on machine vision is disclosed, including the following process:
[0051] (1) Initialization
[0052] Adjust the robotic arm to the state ready to grab the test tube, start the image processing program, turn on the light source, adjust the camera aperture until the points on the preview screen are clearly identifiable, check that the camera, robotic arm, computer, and centrifuge are installed and debugged correctly, then you can start working .
[0053] (2) Camera calibration
[0054] The camera is calibrated using Zhang Zhengyou's calibration method. The calibration process is as follows:
[0055] 1. Print the checkerboard calibration paper and attach it to a flat surface;
[0056] 2. Take pictures of the calibration board from various angles by moving the camera or on a plane, usually 20 pictures;
[0057] 3. Detect feature points in the picture;
[0058] 4. Calculate 5 internal parameters ...
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