In vivo simultaneous nonlinear absorption Raman and fluorescence (SNARF) imaging of mouse brain cortical structures

Andrew T. Francis; Bryce Manifold; Elena C. Carlson; Ruoqian Hu; Andrew H. Hill; Shuaiqian Men; Dan Fu

doi:10.1038/s42003-022-03166-6

Communications Biology (Mar 2022)

In vivo simultaneous nonlinear absorption Raman and fluorescence (SNARF) imaging of mouse brain cortical structures

Andrew T. Francis,
Bryce Manifold,
Elena C. Carlson,
Ruoqian Hu,
Andrew H. Hill,
Shuaiqian Men,
Dan Fu

Affiliations

Andrew T. Francis: Department of Chemistry, University of Washington
Bryce Manifold: Department of Chemistry, University of Washington
Elena C. Carlson: Department of Chemistry, University of Washington
Ruoqian Hu: Department of Chemistry, University of Washington
Andrew H. Hill: Department of Chemistry, University of Washington
Shuaiqian Men: Department of Chemistry, University of Washington
Dan Fu: Department of Chemistry, University of Washington

DOI: https://doi.org/10.1038/s42003-022-03166-6
Journal volume & issue: Vol. 5, no. 1
pp. 1 – 8

Abstract

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In this study a microscope is constructed that carries out simultaneous nonlinear absorption, Raman, and fluorescence (SNARF). Machine learning is then used to predict capillary-lining cell identities with 90% accuracy based on nuclear morphology and capillary relationship, which in combination with the developed microscope, can provide a means to study several fields such as neurovascular coupling.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

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