The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Optical recording of action potentials in mammalian neurons using a microbial rhodopsin
Open accessAbstract
Reliable optical detection of single action potentials in mammalian neurons has been one of the longest-standing challenges in neuroscience. Here we achieved this goal by using the endogenous fluorescence of a microbial rhodopsin protein, Archaerhodopsin 3 (Arch) from Halorubrum sodomense, expressed in cultured rat hippocampal neurons. This genetically encoded voltage indicator exhibited an approximately tenfold improvement in sensitivity and speed over existing protein-based voltage indicators, with a roughly linear twofold increase in brightness between −150 mV and +150 mV and a sub-millisecond response time. Arch detected single electrically triggered action potentials with an optical signal-to-noise ratio >10. Arch(D95N) lacked endogenous proton pumping and had 50% greater sensitivity than wild type but had a slower response (41 ms). Nonetheless, Arch(D95N) also resolved individual action potentials. Microbial rhodopsin–based voltage indicators promise to enable optical interrogation of complex neural circuits and electrophysiology in systems for which electrode-based techniques are challenging.
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Cites
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Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
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“Electrical tagging provides a complement to geneti”
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Fenno, L., Yizhar, O., & Deisseroth, K. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113817 · Cited by 1,822
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Metadata
- Authors
- Kralj, J. M., Douglass, A. D., Hochbaum, D. R., Maclaurin, D., & Cohen, A. E.
- Venue
- Nature Methods
- Published
- 2011-11-27
- Volume
- 9
- Issue
- 1
- Pages
- 90-95
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W1982277188
- Cited by
- 460
- References
- 3
- FWCI
- 14.29
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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