Characterization of two near-infrared genetically encoded voltage indicators.
| Autor: | Song C; Imperial College, Laboratory for Neuronal Circuit Dynamics, London, United Kingdom.; Nanyang Technological University, Singapore., Matlashov ME; Albert Einstein College of Medicine, Gruss-Lipper Biophotonics Center, Department of Genetics, Bronx, New York, United States., Shcherbakova DM; Albert Einstein College of Medicine, Gruss-Lipper Biophotonics Center, Department of Genetics, Bronx, New York, United States., Antic SD; Institute for Systems Genomics, UConn Health, Department of Neuroscience, Farmington, Connecticut, United States., Verkhusha VV; Albert Einstein College of Medicine, Gruss-Lipper Biophotonics Center, Department of Genetics, Bronx, New York, United States.; University of Helsinki, Medicum, Faculty of Medicine, Helsinki, Finland., Knöpfel T; Imperial College, Laboratory for Neuronal Circuit Dynamics, London, United Kingdom.; Hong Kong Baptist University, Laboratory for Neuronal Circuit Dynamics, Hong Kong, China. |
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| Jazyk: | angličtina |
| Zdroj: | Neurophotonics [Neurophotonics] 2024 Apr; Vol. 11 (2), pp. 024201. Date of Electronic Publication: 2023 Dec 11. |
| DOI: | 10.1117/1.NPh.11.2.024201 |
| Abstrakt: | Significance: Efforts starting more than 20 years ago led to increasingly well performing genetically encoded voltage indicators (GEVIs) for optical imaging at wavelengths < 600 nm . Although optical imaging in the > 600 nm wavelength range has many advantages over shorter wavelength approaches for mesoscopic in vivo monitoring of neuronal activity in the mammalian brain, the availability and evaluation of well performing near-infrared GEVIs are still limited. Aim: Here, we characterized two recent near-infrared GEVIs, Archon1 and nirButterfly, to support interested tool users in selecting a suitable near-infrared GEVI for their specific research question requirements. Approach: We characterized side-by-side the brightness, sensitivity, and kinetics of both near-infrared GEVIs in a setting focused on population imaging. Results: We found that nirButterfly shows seven-fold higher brightness than Archon1 under the same conditions and faster kinetics than Archon1 for population imaging without cellular resolution. But Archon1 showed larger signals than nirButterfly. Conclusions: Neither GEVI characterized here surpasses in all three key parameters (brightness, kinetics, and sensitivity), so there is no unequivocal preference for one of the two. Our side-by-side characterization presented here provides new information for future in vitro and ex vivo experimental designs. (© 2023 The Authors.) |
| Databáze: | MEDLINE |
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