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Related Experiment Video

Updated: Dec 9, 2025

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

Subcellular resolution three-dimensional light-field imaging with genetically encoded voltage indicators.

Peter Quicke^1,2, Carmel L Howe^1,2, Pingfan Song³

¹Imperial College London, Department of Bioengineering, London, United Kingdom.

|September 9, 2020

Summary

This summary is machine-generated.

Light-field microscopy (LFM) achieves 3-D voltage imaging in mouse brain slices, resolving neuronal signals in dendrites. This technique enhances voltage imaging with genetically encoded voltage indicators (GEVIs) for better spatial localization.

Keywords:

genetically encoded voltage indicator light-field microscopy voltage imaging

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Area of Science:

Neuroscience
Biophysics
Microscopy

Background:

Light-field microscopy (LFM) offers high signal-to-noise ratio (SNR) and light efficiency for rapid volumetric imaging.
Genetically encoded voltage indicators (GEVIs) require high sampling rates and are limited by brightness and sensitivity, making them ideal for LFM.

Purpose of the Study:

To demonstrate subcellular resolution GEVI imaging in 3D using LFM.
To resolve dendritic voltage signals in acute mouse brain slices.

Main Methods:

Action potential-induced fluorescence transients were imaged in mouse brain slices expressing the GEVI VSFP-Butterfly 1.2.
Wide-field microscopy (WFM) and LFM were used, comparing SNR and localization across LFM reconstruction methods and with WFM.

Main Results:

LFM enabled 3D localization of voltage transients in neuronal somata and dendrites.
Nonregularized deconvolution improved signal localization but decreased SNR compared to synthetic refocusing.
LFM provided comparable SNR to WFM.

Conclusions:

LFM facilitates 3D localization of fluorescence transients, overcoming focal plane limitations.
LFM shows potential for studying dendritic integration and action potential propagation in 3D.