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

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Genetic voltage indicators.

Yuki Bando1,2, Christiane Grimm1, Victor H Cornejo1

  • 1Neurotechnology Center, Department Biological Sciences, Columbia University, 550 W 120th Street, New York, NY, 10027, USA.

BMC Biology
|September 14, 2019
PubMed
Summary
This summary is machine-generated.

Genetically encoded voltage indicators (GEVIs) offer a promising approach for high-resolution optical imaging of neuronal activity. However, challenges remain in achieving optimal performance for in vivo mammalian studies.

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Area of Science:

  • Neuroscience
  • Biotechnology
  • Optical Imaging

Background:

  • Optical imaging of neuronal membrane potential is crucial for understanding brain function.
  • Traditional voltage-sensitive dyes face limitations like non-specific staining in vivo.
  • Genetically encoded voltage indicators (GEVIs) and chemogenetic sensors offer targeted voltage sensing.

Purpose of the Study:

  • To review recent advancements in the design and application of genetic voltage indicators.
  • To discuss the advantages and disadvantages of different classes of GEVIs.
  • To highlight challenges and future directions for GEVIs in neuroscience research.

Main Methods:

  • Review of current literature on genetic voltage indicators.
  • Analysis of different classes of GEVIs based on their design and performance.
  • Discussion of applications and limitations of GEVIs in neuroscience.

Main Results:

  • GEVIs enable targeted voltage sensing to specific neuronal populations and plasma membranes.
  • Different classes of GEVIs exhibit varying advantages and disadvantages.
  • Significant challenges persist, particularly concerning two-photon imaging performance in vivo.

Conclusions:

  • GEVIs hold revolutionary potential for neuroscience research, enabling detailed study of neuronal activity.
  • Overcoming current limitations, especially in two-photon performance, is critical for widespread adoption.
  • Cross-disciplinary collaboration and sustained research initiatives are essential for advancing GEVI technology.