Title:
Image-Guided Closed-Loop Robotic System for Automated Whole-Cell Patch Clamping Electrophysiology of Neurons in Vivo

dc.contributor.patentcreator Suk, Ho-Jun
dc.contributor.patentcreator Boyden, Edward S.
dc.contributor.patentcreator Van, Welie Ingrid
dc.contributor.patentcreator Allen, Brian Douglas
dc.contributor.patentcreator Kodandaramaiah, Suhasa B.
dc.contributor.patentcreator Forest, Craig R.
dc.date.accessioned 2022-07-08T14:21:17Z
dc.date.available 2022-07-08T14:21:17Z
dc.date.filed 7/6/2017
dc.date.issued 5/4/2021
dc.description.abstract In an automated methodology for in vivo image-guided cell patch clamping, a cell patch clamping device is moved into position and targeted to a specific cell using automated image-guided techniques. Cell contact is determined by analyzing the temporal series of measured resistance levels at the clamping device as it is moved. The difference between successive resistance levels is compared to a threshold, which must be exceeded before cell contact is assumed. Pneumatic control methods are used to achieve gigaseal formation and cell break-in, leading to whole-cell patch clamp formation. An automated robotic system capable of performing this methodology automatically performs patch clamping in vivo, automatically locating cells through image guidance and by analyzing the temporal sequence of electrode impedance changes. By continuously monitoring the patching process and rapidly executing actions triggered by specific measurements, the robot can rapidly find target cells in vivo and establish patch-clamp recordings.
dc.description.assignee Massachusetts Institute of Technology
dc.description.assignee Georgia Tech Research Corporation
dc.identifier.cpc A61B 5/04001
dc.identifier.cpc A61B 5/24
dc.identifier.cpc A61B 34/32
dc.identifier.patentapplicationnumber US 15/643,462
dc.identifier.patentnumber 10993634
dc.identifier.uri http://hdl.handle.net/1853/67014
dc.title Image-Guided Closed-Loop Robotic System for Automated Whole-Cell Patch Clamping Electrophysiology of Neurons in Vivo
dspace.entity.type Publication
local.contributor.corporatename Georgia Institute of Technology
local.relation.ispartofseries Georgia Tech Patents
relation.isOrgUnitOfPublication cc30e153-7a64-4ae2-9b1d-5436686785e3
relation.isSeriesOfPublication 0f49c79d-4efb-4bd9-b060-5c7f9191b9da
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