we demonstrate a tool that fully automatically performs electrophysiological recordings in
label-free tissue slices. The automation covers the detection of cells in label-free images,
calibration of the micropipette movement, approach to the cell with the pipette, formation of
the whole-cell configuration, and recording. The cell detection is based on deep learning.
The model is trained on a new image database of neurons in unlabeled brain tissue slices …