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Cited by 331

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Wide field-of-view, multi-region, two-photon imaging of neuronal activity in the mammalian brain

Open access
Stirman, Jeffrey N, Smith, Ikuko T, Kudenov, Michael W, Smith, Spencer L·2016·Nature Biotechnology

Abstract

Two-photon calcium imaging provides an optical readout of neuronal activity in populations of neurons with subcellular resolution. However, conventional two-photon imaging systems are limited in their field of view to ∼1 mm2, precluding the visualization of multiple cortical areas simultaneously. Here, we demonstrate a two-photon microscope with an expanded field of view (>9.5 mm2) for rapidly reconfigurable simultaneous scanning of widely separated populations of neurons. We custom designed and assembled an optimized scan engine, objective, and two independently positionable, temporally multiplexed excitation pathways. We used this new microscope to measure activity correlations between two cortical visual areas in mice during visual processing.

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Crossref · 10.1038/nbt.3594

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Metadata

Authors
Stirman, J. N., Smith, I. T., Kudenov, M. W., & Smith, S. L.
Venue
Nature Biotechnology
Published
2016-06-27
Volume
34
Issue
8
Pages
857-862
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W2472683490
Cited by
331
References
28
FWCI
22.09
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Wide field-of-view, multi-region, two-photon imaging of neuronal activity in the mammalian brain. https://app.cochat.ai/papers/10.1038/nbt.3594
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Stirman, J. N., Smith, I. T., Kudenov, M. W., & Smith, S. L. (2016). Wide field-of-view, multi-region, two-photon imaging of neuronal activity in the mammalian brain. Nature Biotechnology. https://doi.org/10.1038/nbt.3594

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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.