Evidence map›Paper›PMID 30650368›Full record

ArticleCell reports2019

Comparative Evaluation of Genetically Encoded Voltage Indicators.

Yuki Bando, Masayuki Sakamoto, Samuel Kim, Inbal Ayzenshtat, Rafael Yuste

Abstract read
In one paragraph

Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

105 citing papers in PubMed.

  1. Review
  2. Article
  3. Cerebral capillary computation.American journal of physiology. Cell physiology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Genetically encoded sensors illuminateIBRO neuroscience reports · 2025
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article

45 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yuki BandoNeuroTechnology Center, Department of Biological Sciences, Columbia University, New York, NY 10027, USA. Electronic address: bando@hama-med.ac.jp.
Masayuki SakamotoNeuroTechnology Center, Department of Biological Sciences, Columbia University, New York, NY 10027, USA. Electronic address: msakamoto@m.u-tokyo.ac.jp.
Samuel KimNeuroTechnology Center, Department of Biological Sciences, Columbia University, New York, NY 10027, USA.
Inbal AyzenshtatNeuroTechnology Center, Department of Biological Sciences, Columbia University, New York, NY 10027, USA.
Rafael YusteNeuroTechnology Center, Department of Biological Sciences, Columbia University, New York, NY 10027, USA.

Funding

IMAGING FUNCTIONAL CONNECTIVITY IN VISUAL CORTEXR01EY011787 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI YUSTE, RAFAEL · 1998 to 2021
$6.4M
Functional connectomics of the neocortical microcircuitDP1EY024503 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI YUSTE, RAFAEL · 2013 to 2017
$4.0M
Functional consequences of GABAergic inhibition of dendritic spines at pubertyR01MH100561 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI SMITH, SHERYL S · 2013 to 2017
$3.0M
Two-photon optical control of astrocytic functionR01MH101218 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI YUSTE, RAFAEL · 2013 to 2017
$2.0M
NEI NIH HHS DP1 EY024503NEI NIH HHS R01 EY011787NIMH NIH HHS R01 MH100561NIMH NIH HHS R01 MH101218
6 · The paper itself

Abstract

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.

Indexed as

Action PotentialsAnimalsMembrane PotentialsMice1-photon microscopy2-photon microscopygenetically encoded voltage indicatorsin vitroin vivooptical field potentialsingle cellwide-field imaging

Identifiers

PMID30650368
PMCPMC7075032

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.