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Updated: Jun 2, 2025
09:57
Imaging Membrane Potential with Two Types of Genetically Encoded Fluorescent Voltage Sensors
Published on: February 4, 2016
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From resting potential to dynamics: advances in membrane voltage indicators and imaging techniques
Reyhaneh Shakibi1,2,3, Fatemeh Yazdipour1,2, Hamed Abadijoo1,2,4
1Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran.
Quarterly Reviews of Biophysics
|January 16, 2025
Summary
This review covers new noninvasive voltage indicators and imaging techniques for measuring cellular membrane potential dynamics. These advanced methods offer high-resolution insights into cellular electrophysiology and neuroscience research.
Area of Science:
- Cellular electrophysiology
- Neuroscience
- Biophysics
Background:
- Membrane potential is crucial for cellular functions like homeostasis and signal transduction.
- Resting membrane potential (RMP) and its dynamic changes (depolarization, hyperpolarization) are vital for cellular behavior.
- Traditional invasive methods (microelectrodes, patch-clamp) limit high-throughput analysis.
Purpose of the Study:
- To review advancements in noninvasive tools for measuring membrane potential.
- To explore the mechanisms, development, and applications of new voltage indicators and imaging techniques.
- To highlight the potential of these tools in neuroscience and cellular electrophysiology.
Main Methods:
- Voltage indicators (fast and slow dyes)
- Novel imaging modalities (Second Harmonic Generation - SHG, photoacoustic imaging)
- Noninvasive, high-resolution measurement techniques
Main Results:
- New tools enable noninvasive measurement of RMP and membrane potential dynamics.
- These methods provide high-resolution data crucial for understanding cellular electrophysiology.
- Advances facilitate broader application in complex biological systems.
Conclusions:
- Noninvasive voltage sensing tools are revolutionizing cellular electrophysiology research.
- These technologies offer significant advantages over traditional invasive methods.
- Future applications hold transformative potential for neuroscience and beyond.
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