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Imaging different cell populations in the mouse olfactory bulb using the genetically encoded voltage indicator
Lee Min Leong1, Douglas A Storace1,2,3
1Florida State University, Department of Biological Science, Tallahassee, Florida, United States.
Neurophotonics
|January 30, 2024
Summary
Genetically encoded voltage indicators (GEVIs) enable optical imaging of genetically defined neurons. Newer GEVIs like ArcLight improve in vivo studies of the mouse olfactory bulb, advancing neuroscience research.
Area of Science:
- Neuroscience
- Biotechnology
- Optical Imaging
Background:
- Genetically encoded voltage indicators (GEVIs) are protein-based optical sensors for monitoring neuronal activity.
- Early GEVIs faced challenges in in vivo mammalian brain imaging due to low signal-to-noise ratio and poor membrane expression.
- Recent advancements have significantly improved GEVI sensitivity and utility for neuroscience research.
Purpose of the Study:
- To review the principles of imaging using GEVIs and genetically encoded calcium indicators.
- To discuss recent mechanistic advances driving GEVI improvements.
- To highlight the application of GEVIs, specifically ArcLight, in studying the mouse olfactory bulb (OB).
Main Methods:
- Review of imaging principles for GEVIs and genetically encoded calcium indicators.
- Analysis of recent mechanistic advances in GEVI development.
- Application of the GEVI ArcLight in widefield and two-photon microscopy of the mouse OB.
Main Results:
- Newer GEVIs offer improved performance for in vivo neuronal imaging.
- GEVIs, like ArcLight, are effective tools for studying cell types within the OB.
- Optical signals from population measurements in the in vivo brain can be interpreted for neuroscience insights.
Conclusions:
- GEVIs are increasingly valuable tools for answering fundamental questions in neuroscience.
- ArcLight enables detailed studies of neuronal activity and coding principles in the OB.
- Future developments in GEVIs promise to further advance in vivo brain imaging capabilities.
