Progress in automating patch clamp cellular physiology

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Title: Progress in automating patch clamp cellular physiology
Authors: Annecchino, L
Schultz, SR
Item Type: Journal Article
Abstract: Patch clamp electrophysiology has transformed research in the life sciences over the last few decades. Since their inception, automatic patch clamp platforms have evolved considerably, demonstrating the capability to address both voltage and ligand gated channels, and showing the potential to play a pivotal role in drug discovery and biomedical research. Unfortunately, the cell suspension assays to which early systems were limited cannot recreate biologically relevant cellular environments, or capture higher-order aspects of synaptic physiology and network dynamics. In vivo patch clamp electrophysiology has the potential to yield more biologically complex information and be especially useful in reverse engineering the molecular and cellular mechanisms of single-cell and network neuronal computation, while capturing important aspects of human disease mechanisms and possible therapeutic strategies. Unfortunately, it is a difficult procedure with a steep learning curve, which has restricted dissemination of the technique. Luckily, In vivo patch clamp electrophysiology seems particularly amenable to robotic automation. In this review, we document the development of automated patch clamp technology, from early systems based on multi-well plates through to automated planar array platforms, and modern robotic platforms capable of performing two-photon targeted whole-cell electrophysiological recordings in vivo.
Issue Date: 17-May-2018
Date of Acceptance: 19-Apr-2018
ISSN: 2398-2128
Publisher: SAGE Publications (UK and US)
Start Page: 1
End Page: 16
Journal / Book Title: Brain and Neuroscience Advances
Volume: 2
Copyright Statement: © The Author(s) 2018. Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (
Sponsor/Funder: Biotechnology and Biological Sciences Research Council (BBSRC)
Commission of the European Communities
Funder's Grant Number: BB/K001817/1
Publication Status: Published
Online Publication Date: 2018-05-17
Appears in Collections:Faculty of Engineering

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