PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices.

Journal: Journal of neural engineering
Published Date:

Abstract

OBJECTIVE: Intracellular patch-clamp electrophysiology, one of the most ubiquitous, high-fidelity techniques in biophysics, remains laborious and low-throughput. While previous efforts have succeeded at automating some steps of the technique, here we demonstrate a robotic 'PatcherBot' system that can perform many patch-clamp recordings sequentially, fully unattended.

Authors

  • Ilya Kolb
    Wallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America.
  • Corey R Landry
  • Mighten C Yip
  • Colby F Lewallen
  • William A Stoy
    Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia 30332, USA.
  • John Lee
  • Amanda Felouzis
  • Bo Yang
    Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
  • Edward S Boyden
    Media Lab, Massachusetts Institute of Technology, Cambridge, United States.
  • Christopher J Rozell
    School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332.
  • Craig R Forest
    Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia 30332, USA.