Corrigendum: Single-neuron level one-photon voltage imaging with sparsely targeted genetically encoded voltage indicators
File(s)fncel-13-00202.pdf (82.08 KB)
Published version
Author(s)
Type
Journal Article
Abstract
Voltage imaging of many neurons simultaneously at single-cell resolution is hampered by
the difficulty of detecting small voltage signals from overlapping neuronal processes in
neural tissue. Recent advances in genetically encoded voltage indicator (GEVI) imaging
have shown single-cell resolution optical voltage recordings in intact tissue through
imaging naturally sparse cell classes, sparse viral expression, soma restricted expression,
advanced optical systems, or a combination of these. Widespread sparse and strong
transgenic GEVI expression would enable straightforward optical access to a densely
occurring cell type, such as cortical pyramidal cells. Here we demonstrate that a recently
described sparse transgenic expression strategy can enable single-cell resolution voltage
imaging of cortical pyramidal cells in intact brain tissue without restricting expression to
the soma. We also quantify the functional crosstalk in brain tissue and discuss optimal
imaging rates to inform future GEVI experimental design.
the difficulty of detecting small voltage signals from overlapping neuronal processes in
neural tissue. Recent advances in genetically encoded voltage indicator (GEVI) imaging
have shown single-cell resolution optical voltage recordings in intact tissue through
imaging naturally sparse cell classes, sparse viral expression, soma restricted expression,
advanced optical systems, or a combination of these. Widespread sparse and strong
transgenic GEVI expression would enable straightforward optical access to a densely
occurring cell type, such as cortical pyramidal cells. Here we demonstrate that a recently
described sparse transgenic expression strategy can enable single-cell resolution voltage
imaging of cortical pyramidal cells in intact brain tissue without restricting expression to
the soma. We also quantify the functional crosstalk in brain tissue and discuss optimal
imaging rates to inform future GEVI experimental design.
Date Issued
2019-05-07
Date Acceptance
2019-01-24
Citation
Frontiers in Cellular Neuroscience, 2019, 13
ISSN
1662-5102
Publisher
Frontiers Media
Journal / Book Title
Frontiers in Cellular Neuroscience
Volume
13
Copyright Statement
© 2019 Quicke, Song, McKimm, Milosevic, Howe, Neil, Schultz, Antic, Foust and Knöpfel. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Sponsor
The Royal Society
Biotechnology and Biological Sciences Research Council (BBSRC)
Royal Academy Of Engineering
National Institutes of Health
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000467478300002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
IF110059
BB/K001817/1
RF1415\14\26
UPMC: C15/0244
Subjects
Science & Technology
Life Sciences & Biomedicine
Neurosciences
Neurosciences & Neurology
voltage imaging
cerebral cortex
sparse expression
optogenetics
transgenic
Publication Status
Published
Article Number
ARTN 202