Fig. 4: A representative example of a visual patch clamping procedure.
From: Automatic deep learning-driven label-free image-guided patch clamp system
a Trajectory of the pipette tip (red line) with obstacle avoidance (numbered) in the tissue and the spatial location of the detected cells (green boxes). The steps of the avoidance algorithm are the following. 1: The pipette is moved forward in the initial trajectory until an obstacle is hit. 2: The pipette is pulled back. 3: The pipette is moved laterally in a spiral pattern until the resistance is back to normal. 4: The obstacle is passed. 5: The pipette is readjusted to the trajectory. 6: The approaching is continued. b Plots of the depth of the pipette tip in the tissue, the applied air pressure, and the measured pipette tip resistance during the approach. c Image of a cell before and after performing patch clamp recording on it. Source Data is available as a Source Data file.
