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Updated: Mar 3, 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

Voltage imaging with genetically encoded indicators.

Yongxian Xu¹, Peng Zou¹, Adam E Cohen²

¹Synthetic and Functional Biomolecules Center, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing 100871, China.

Current Opinion in Chemical Biology

|May 2, 2017

Summary

This summary is machine-generated.

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Genetically encoded voltage indicators (GEVIs) are crucial tools for visualizing cellular electrical activity. Recent protein engineering advances have significantly improved GEVI performance for in vivo voltage imaging.

Area of Science:

Cell Biology
Neuroscience
Biophysics

Background:

Membrane voltages are fundamental to cellular function, especially in excitable cells like neurons and cardiomyocytes.
Electrical signaling occurs in various cell types and organelles, not just excitable ones.
In vivo voltage imaging offers unparalleled insights into cellular and circuit-level electrical dynamics.

Purpose of the Study:

To review recent advancements in genetically encoded voltage indicators (GEVIs).
To highlight protein engineering strategies for improving GEVI characteristics.
To discuss future opportunities in GEVI development and application.

Main Methods:

Review of recent scientific literature on genetically encoded voltage indicators.
Analysis of protein engineering approaches for GEVI optimization.

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Last Updated: Mar 3, 2026

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

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Single-Cell Optical Action Potential Measurement in Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes

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Discussion of GEVI applications in biological research.

Main Results:

A wide array of novel GEVIs with diverse scaffolds and performance trade-offs have emerged.
Significant progress has been made in enhancing GEVI voltage sensitivity, response speed, brightness, and spectral properties.
GEVIs are increasingly utilized for in vivo voltage imaging, enabling cellular and circuit-level analysis.

Conclusions:

GEVIs are powerful tools for studying electrical signaling across various biological systems.
Continued protein engineering efforts are vital for further enhancing GEVI capabilities.
Future developments promise expanded applications for in vivo voltage imaging.