Analysis of visual-based micromanipulation for patch clamp recording

Recent advances in patch clamp system have demonstrated that a visual-based micromanipulation strategy can benefit to perform electrophysiological recording automatically. In this paper, the design and implementation of a micromanipulation system with the visual-based identification are reported. The system is able to manipulate a patch clamp pipette to the position of target cells automatically. The calibration and alignment method based on the coordinate frames of the camera and micromanipulator are introduced. Some parameters such as angle of rotation matrix and displacement errors are analyzed.