Image processing for biological cell manipulation
In the article, authors present image processing techniques used in control the hybrid robot for micromanipulation tasks. Presented in the paper, solution allow to automate researches and Increase the number of the positively finished tests in applications like patch-clamp. The workstation contains a high precision hybrid robot, which is built of macro robot (parallel kinematics), micro robot (series kinematics) and the Leica Z16APOA macroscope. Heuristic algorithm for neural cell classification and selection has been developed. Integration of vision system as part of the feedback control was successfully accomplished for the micro and macro robot. Developed hybrid robot with vision feedback system are used for in vitro measurement of the electrical activity of the neuron cells in zoology and pharmacy research. Authors demonstrate measurement method in the visual realization servoed hybrid robot, heuristic algorithm of the detection cell for patch-clamp measurements.
image processing visual servoing hybrid robots parallel robots vision feedback control
M.Szwedo M.Petko T.Uhl
AGH University of Science and Technology Krakow,Poland
国际会议
上海
英文
1-11
2011-10-14（万方平台首次上网日期，不代表论文的发表时间）