Evidence map›Paper›PMID 42721964›Full record

ReviewNeuron2026

Voltage imaging: A practical guide.

Adam E Cohen, Daozheng Gong

Abstract readReview
In one paragraph

Review in Neuron, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Adam E CohenDepartments of Chemistry and Chemical Biology, and Physics, Harvard University, Cambridge, MA 02138, USA. Electronic address: cohen@chemistry.harvard.edu.
Daozheng GongDepartments of Chemistry and Chemical Biology, and Physics, Harvard University, Cambridge, MA 02138, USA.

Funding

Optical sensing of voltage, pH, and small molecules using microbial rhodopsinsDP2OD007428 · OD · HARVARD UNIVERSITY · PI COHEN, ADAM EZRA · 2010 to 2010
$2.5M
Two-Photon All-Optical Electrophysiology in Behaving MiceRF1NS126043 · NINDS · HARVARD UNIVERSITY · PI COHEN, ADAM EZRA · 2022 to 2022
$2.2M
Chemigenetic voltage indicators for far-red and two-photon imaging in vivoRF1NS133755 · NINDS · BROWN UNIVERSITY · PI ABDELFATTAH, AHMED · 2023 to 2023
$2.2M
Engineering Microbial Rhodopsins as Optical Voltage SensorsR01EB012498 · NIBIB · HARVARD UNIVERSITY · PI COHEN, ADAM EZRA · 2011 to 2014
$1.5M
Brain-wide correlation of single-cell firing properties to patterns of gene expressionRF1MH117042 · NIMH · HARVARD UNIVERSITY · PI COHEN, ADAM EZRA · 2018 to 2018
$1.2M
NIBIB NIH HHS R01 EB012498NIH HHS DP2 OD007428NIMH NIH HHS RF1 MH117042NINDS NIH HHS RF1 NS126043NINDS NIH HHS RF1 NS133755
6 · The paper itself

Abstract

Recent advances in genetically encoded voltage indicators (GEVIs), optical instrumentation, and analysis software have brought voltage imaging within reach of most neuroscience labs. Voltage imaging can resolve subthreshold dynamics and action potentials across scales, from the flickering of single ion channels to large-scale neural population dynamics in behaving animals. This primer provides a practical guide to the choices involved in setting up a voltage imaging experiment, including selecting a voltage indicator, choosing excitation wavelengths and microscopy configurations, expressing the constructs in the desired cell types, and extracting information from the data. We discuss the physical principles that govern signal-to-noise ratio, the trade-offs between one-photon and two-photon excitation, and the use of structured illumination to improve contrast in tissue. Our aim is to provide a reference for new and seasoned voltage imagers on how to design effective voltage imaging experiments.

Indexed as

electrophysiologymicroscopyoptogeneticsvoltage imaging

Identifiers

PMID42721964
PMCPMC13685064

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.