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Cited by 408

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

High-fidelity optical reporting of neuronal electrical activity with an ultrafast fluorescent voltage sensor

Open access
St-Pierre, François, Marshall, Jesse D, Yang, Ying, Gong, Yiyang, Schnitzer, Mark J, Lin, Michael Z·2014·Nature Neuroscience

Abstract

Accurate optical reporting of electrical activity in genetically defined neuronal populations is a long-standing goal in neuroscience. We developed Accelerated Sensor of Action Potentials 1 (ASAP1), a voltage sensor design in which a circularly permuted green fluorescent protein is inserted in an extracellular loop of a voltage-sensing domain, rendering fluorescence responsive to membrane potential. ASAP1 demonstrated on and off kinetics of ∼2 ms, reliably detected single action potentials and subthreshold potential changes, and tracked trains of action potential waveforms up to 200 Hz in single trials. With a favorable combination of brightness, dynamic range and speed, ASAP1 enables continuous monitoring of membrane potential in neurons at kilohertz frame rates using standard epifluorescence microscopy.

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Crossref · 10.1038/nn.3709

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Metadata

Authors
St-Pierre, F., Marshall, J. D., Yang, Y., Gong, Y., Schnitzer, M. J., & Lin, M. Z.
Venue
Nature Neuroscience
Published
2014-04-22
Volume
17
Issue
6
Pages
884-889
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2062382534
Cited by
408
References
44
FWCI
31.85
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: High-fidelity optical reporting of neuronal electrical activity with an ultrafast fluorescent voltage sensor. https://app.cochat.ai/papers/10.1038/nn.3709
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St-Pierre, F., Marshall, J. D., Yang, Y., Gong, Y., Schnitzer, M. J., & Lin, M. Z. (2014). High-fidelity optical reporting of neuronal electrical activity with an ultrafast fluorescent voltage sensor. Nature Neuroscience. https://doi.org/10.1038/nn.3709

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.