Automated whole-cell patch-clamp electrophysiology of neurons in vivo

被引:0
作者
Suhasa B Kodandaramaiah
Giovanni Talei Franzesi
Brian Y Chow
Edward S Boyden
Craig R Forest
机构
[1] Media Lab., Massachusetts Institute of Technology, Cambridge, MA
[2] George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA
[3] McGovern Institute, Massachusetts Institute of Technology, Cambridge, MA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
D O I
10.1038/nmeth.1993
中图分类号
学科分类号
摘要
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. © 2012 Nature America, Inc. All rights reserved.
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页码:585 / 587
页数:2
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