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Updated: Jan 30, 2026

Imaging Membrane Potential with Two Types of Genetically Encoded Fluorescent Voltage Sensors

Imaging Membrane Potential with Two Types of Genetically Encoded Fluorescent Voltage Sensors

Published on: February 4, 2016

Comparative Evaluation of Genetically Encoded Voltage Indicators.

Yuki Bando¹, Masayuki Sakamoto¹, Samuel Kim¹

¹NeuroTechnology Center, Department of Biological Sciences, Columbia University, New York, NY 10027, USA.

|January 17, 2019

Summary

This summary is machine-generated.

Choosing the right genetically encoded voltage indicator (GEVI) is crucial for imaging neural circuits. This study compared eight GEVIs, finding QuasAr2 best in vitro and ArcLight-MT best in vivo for detecting electrical activity.

Keywords:

1-photon microscopy 2-photon microscopy genetically encoded voltage indicators in vitro in vivo optical field potential single cell wide-field imaging

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Optical Quantification of Intracellular pH in Drosophila melanogaster Malpighian Tubule Epithelia with a Fluorescent Genetically-encoded pH Indicator

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Imaging Membrane Potential with Two Types of Genetically Encoded Fluorescent Voltage Sensors

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Imaging Mitochondrial Ca2+ Uptake in Astrocytes and Neurons using Genetically Encoded Ca2+ Indicators GECIs

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Optical Quantification of Intracellular pH in Drosophila melanogaster Malpighian Tubule Epithelia with a Fluorescent Genetically-encoded pH Indicator

Optical Quantification of Intracellular pH in Drosophila melanogaster Malpighian Tubule Epithelia with a Fluorescent Genetically-encoded pH Indicator

Published on: August 11, 2017

Area of Science:

Neuroscience
Molecular Biology
Biophysics

Background:

Fluorescent voltage imaging offers high spatiotemporal resolution for probing neural circuits.
Insufficient signal-to-noise ratio (SNR) remains a challenge for imaging membrane potential in mammalian preparations.
Numerous genetically encoded voltage indicators (GEVIs) have been developed to address this challenge.

Purpose of the Study:

To systematically compare the performance of eight distinct GEVI families.
To guide the selection of optimal GEVIs for specific experimental applications.
To evaluate GEVI performance across different imaging modalities and preparations.

Main Methods:

In vitro characterization using 1-photon imaging.
In vivo evaluation with 1-photon wide-field imaging.
In vivo assessment using 2-photon imaging.

Main Results:

QuasAr2 demonstrated superior performance in vitro.
ArcLight-MT was the only GEVI reliably detecting in vivo electrical activity with 2-photon excitation.
No single GEVI excelled across all tested conditions, highlighting application-specific suitability.

Conclusions:

GEVI performance varies significantly depending on the experimental setup and imaging technique.
Selecting the appropriate GEVI is critical for successful neural circuit investigation.
This comparative study provides essential data for informed GEVI selection in neuroscience research.