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Updated: Apr 22, 2026

Imaging Membrane Potential with Two Types of Genetically Encoded Fluorescent Voltage Sensors
Published on: February 4, 2016
Exploration of genetically encoded voltage indicators based on a chimeric voltage sensing domain
Yukiko Mishina1, Hiroki Mutoh2, Chenchen Song3
1Laboratory for Neuronal Circuit Dynamics, RIKEN Brain Science Institute Wako, Japan ; Centre for Global Communication Strategies, The University of Tokyo Tokyo, Japan.
New genetically encoded voltage indicators (GEVIs) combine chimeric voltage-sensing domains with fluorescent protein structures. These novel GEVIs enable high-speed neural activity imaging in mice, advancing brain function research.
Area of Science:
- Neuroscience
- Molecular Biology
- Biophysics
Background:
- Understanding brain cognitive function requires monitoring large-scale neural activity.
- Genetically encoded voltage indicators (GEVIs) offer potential for optical imaging of neuronal electrical activity.
- Existing GEVIs include voltage-sensitive fluorescent proteins (VSFPs) and microbial opsins.
Purpose of the Study:
- To develop novel GEVIs with improved performance for neural activity monitoring.
- To combine chimeric voltage-sensing domains (VSDs) with the VSFP-Butterfly structure.
- To assess the capability of these new GEVIs in reporting neural activity.
Main Methods:
- Construction of new VSFP designs integrating chimeric VSDs with Butterfly structures.
- Testing GEVIs in cultured cells to measure membrane voltage oscillations.
- In vivo imaging of sensory-evoked cortical population responses in living mice.
Main Results:
- The developed chimeric VSFP-Butterflies successfully reported membrane voltage oscillations up to 200 Hz in cultured cells.
- These novel GEVIs detected sensory-evoked cortical population responses in live mice.
- The new GEVIs demonstrate suitability for imaging brain rhythms in behaving mammals.
Conclusions:
- Chimeric VSFP-Butterflies represent a promising class of GEVIs for neuroscience research.
- These indicators facilitate high-speed optical imaging of neural activity.
- The technology may enable deeper understanding of cognitive functions and brain dynamics.
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