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Two-Photon Targeted, Quad Whole-Cell Patch-Clamping Robot

Gema I Vera Gonzalez, Phatsimo O Kgwarae, Simon R. Schultz

Year
2022
Citations
4
Access
Open access

Abstract

Abstract We present an automated quad-channel patch-clamp technology platform for ex vivo brain slice electrophysiology, capable of both blind and two-photon targeted robotically automated patching. The robot scales up the patch-clamp singlecell recording technique to four simultaneous channels, with seal success rates for two-photon targeted and blind modes of 54% and 68% respectively. In 50% of targeted trials (where specific cells were required), at least 2 simultaneous recordings were obtained. For blind mode, most trials yielded dual or triple recordings. This robot, a milestone on the path to a true in vivo robotic multi-patching technology platform, will allow numerous studies into the function and connectivity patterns of both primary and secondary cell types.

Keywords

RobotClampingPatch clampComputer scienceComputer hardwareArtificial intelligenceElectrophysiologyEmbedded systemComputer visionNeuroscience

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