Automated whole-cell patch-clamp electrophysiology of neurons in vivo
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Boyden_Automated whole-cell.pdf
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Author(s)
Kodandaramaiah, Suhasa Bangalo
Talei Franzesi, Giovanni
Forest, Craig R.
Chow, Brian Yichiun
Boyden, Edward
Date Issued
May 2012
Journal
Nature Methods
Publisher
Nature Publishing Group
Citation
Kodandaramaiah, Suhasa B, Giovanni Talei Franzesi, Brian Y Chow, Edward S Boyden, and Craig R Forest. Automated Whole-cell Patch-clamp Electrophysiology of Neurons in Vivo. Nature Methods 9, no. 6 (May 6, 2012): 585-587.
Version
Author's final manuscript
Abstract
Whole-cell patch-clamp electrophysiology of neurons is a gold-standard technique for high-fidelity analysis of the biophysical mechanisms of neural computation and pathology, but it requires great skill to perform. We have developed a robot that automatically performs patch clamping in vivo, algorithmically detecting cells by analyzing the temporal sequence of electrode impedance changes. We demonstrate good yield, throughput and quality of automated intracellular recording in mouse cortex and hippocampus.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
McGovern Institute for Brain Research at MIT
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/nmeth.1993
