Digital Cell Microinjection Robot Image Acquisition And Processing

In bioscience research and experiments, the microoperation robot make the microoperation simplify, automation, improve production efficiency and success rate. In this paper, a digital cell microinjection robot based on the "Micro-fluidic digital technology" was studied. The system architecture and the basic function of digital cell microinjection robot was analyzed, the functional control system module and implementation was defined. On this basis, the image acquisition and processing was studied. After comparing different image acquisition program, image acquisition module was developed under DirectShow framework in VC++6.0 environment. The image acquisition module can access the video streaming from image acquisition equipment, real-time preview, compresse, store in the hard disk. From the angle of visual tracking,the methods of tracking was analyzed. The different methods for identification and tracking were used for different objects, and the method of increasing recognition speed and accuracy are discussed. Each frame image was smoothing, motion detection. The location of micro-manipulation tools and cell was calculated in real-time for the closed-loop control. Finally,the function of image processing was implemented under OpenCV.