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Comparative Evaluation of Genetically Encoded Voltage Indicators

Imaging voltage using fluorescent-based sensors could be an ideal technique to probe neural circuits with high spatiotemporal resolution. However, due to insufficient signal-to-noise ratio (SNR), imaging membrane potential in mammalian preparations is still challenging. In recent years, many genetic...

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Detalles Bibliográficos
Autores principales: Bando, Yuki, Sakamoto, Masayuki, Kim, Samuel, Ayzenshtat, Inbal, Yuste, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075032/
https://www.ncbi.nlm.nih.gov/pubmed/30650368
http://dx.doi.org/10.1016/j.celrep.2018.12.088
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author Bando, Yuki
Sakamoto, Masayuki
Kim, Samuel
Ayzenshtat, Inbal
Yuste, Rafael
author_facet Bando, Yuki
Sakamoto, Masayuki
Kim, Samuel
Ayzenshtat, Inbal
Yuste, Rafael
author_sort Bando, Yuki
collection PubMed
description Imaging voltage using fluorescent-based sensors could be an ideal technique to probe neural circuits with high spatiotemporal resolution. However, due to insufficient signal-to-noise ratio (SNR), imaging membrane potential in mammalian preparations is still challenging. In recent years, many genetically encoded voltage indicators (GEVIs) have been developed. To compare them and guide decisions on which GEVI to use, we have characterized side by side the performance of eight GEVIs that represent different families of molecular constructs. We tested GEVIs in vitro with 1-photon imaging and in vivo with 1-photon wide-field imaging and 2-photon imaging. We find that QuasAr2 exhibited the best performance in vitro, whereas only ArcLight-MT could be used to reliably detect electrical activity in vivo with 2-photon excitation. No single GEVI was ideal for every experiment. These results provide a guide for choosing optimal GEVIs for specific applications.
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spelling pubmed-70750322020-03-16 Comparative Evaluation of Genetically Encoded Voltage Indicators Bando, Yuki Sakamoto, Masayuki Kim, Samuel Ayzenshtat, Inbal Yuste, Rafael Cell Rep Article Imaging voltage using fluorescent-based sensors could be an ideal technique to probe neural circuits with high spatiotemporal resolution. However, due to insufficient signal-to-noise ratio (SNR), imaging membrane potential in mammalian preparations is still challenging. In recent years, many genetically encoded voltage indicators (GEVIs) have been developed. To compare them and guide decisions on which GEVI to use, we have characterized side by side the performance of eight GEVIs that represent different families of molecular constructs. We tested GEVIs in vitro with 1-photon imaging and in vivo with 1-photon wide-field imaging and 2-photon imaging. We find that QuasAr2 exhibited the best performance in vitro, whereas only ArcLight-MT could be used to reliably detect electrical activity in vivo with 2-photon excitation. No single GEVI was ideal for every experiment. These results provide a guide for choosing optimal GEVIs for specific applications. 2019-01-15 /pmc/articles/PMC7075032/ /pubmed/30650368 http://dx.doi.org/10.1016/j.celrep.2018.12.088 Text en This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bando, Yuki
Sakamoto, Masayuki
Kim, Samuel
Ayzenshtat, Inbal
Yuste, Rafael
Comparative Evaluation of Genetically Encoded Voltage Indicators
title Comparative Evaluation of Genetically Encoded Voltage Indicators
title_full Comparative Evaluation of Genetically Encoded Voltage Indicators
title_fullStr Comparative Evaluation of Genetically Encoded Voltage Indicators
title_full_unstemmed Comparative Evaluation of Genetically Encoded Voltage Indicators
title_short Comparative Evaluation of Genetically Encoded Voltage Indicators
title_sort comparative evaluation of genetically encoded voltage indicators
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075032/
https://www.ncbi.nlm.nih.gov/pubmed/30650368
http://dx.doi.org/10.1016/j.celrep.2018.12.088
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