Imperial College London
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ProfessorSimonSchultz

Faculty of Engineering, Department of Bioengineering

Professor of Neurotechnology
 
 
 
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Contact

 

s.schultz Website

 
 
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Location

 

4.11Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Annecchino:2017:10.1016/j.neuron.2017.08.018,
author = {Annecchino, LA and Morris, AR and Copeland, CS and Agabi, OE and Chadderton, P and Schultz, SR},
doi = {10.1016/j.neuron.2017.08.018},
journal = {Neuron},
pages = {1048--1055.e3},
title = {Robotic automation of in vivo two photon targeted whole-cell patch clamp electrophysiology},
url = {http://dx.doi.org/10.1016/j.neuron.2017.08.018},
volume = {95},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Whole-cell patch-clamp electrophysiological recording is a powerful technique for studying cellular function. While in vivo patch-clamp recording has recently benefited from automation, it is normally performed “blind,” meaning that throughput for sampling some genetically or morphologically defined cell types is unacceptably low. One solution to this problem is to use two-photon microscopy to target fluorescently labeled neurons. Combining this with robotic automation is difficult, however, as micropipette penetration induces tissue deformation, moving target cells from their initial location. Here we describe a platform for automated two-photon targeted patch-clamp recording, which solves this problem by making use of a closed loop visual servo algorithm. Our system keeps the target cell in focus while iteratively adjusting the pipette approach trajectory to compensate for tissue motion. We demonstrate platform validation with patch-clamp recordings from a variety of cells in the mouse neocortex and cerebellum.
AU  - Annecchino,LA
AU  - Morris,AR
AU  - Copeland,CS
AU  - Agabi,OE
AU  - Chadderton,P
AU  - Schultz,SR
DO  - 10.1016/j.neuron.2017.08.018
EP  - 1055
PY  - 2017///
SN  - 0896-6273
SP  - 1048
TI  - Robotic automation of in vivo two photon targeted whole-cell patch clamp electrophysiology
T2  - Neuron
UR  - http://dx.doi.org/10.1016/j.neuron.2017.08.018
UR  - https://www.sciencedirect.com/science/article/pii/S089662731730733X?via%3Dihub
UR  - http://hdl.handle.net/10044/1/50418
VL  - 95
ER  -
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