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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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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. |
format | Online Article Text |
id | pubmed-7075032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bandoyuki comparativeevaluationofgeneticallyencodedvoltageindicators AT sakamotomasayuki comparativeevaluationofgeneticallyencodedvoltageindicators AT kimsamuel comparativeevaluationofgeneticallyencodedvoltageindicators AT ayzenshtatinbal comparativeevaluationofgeneticallyencodedvoltageindicators AT yusterafael comparativeevaluationofgeneticallyencodedvoltageindicators |