Subcellular three-dimensional imaging deep through multicellular thick samples by structured illumination microscopy and adaptive optics

Ruizhe Lin; Edward T. Kipreos; Jie Zhu; Chang Hyun Khang; Peter Kner

doi:10.1038/s41467-021-23449-6

Nature Communications (May 2021)

Subcellular three-dimensional imaging deep through multicellular thick samples by structured illumination microscopy and adaptive optics

Ruizhe Lin,
Edward T. Kipreos,
Jie Zhu,
Chang Hyun Khang,
Peter Kner

Affiliations

Ruizhe Lin: School of Electrical and Computer Engineering, University of Georgia
Edward T. Kipreos: Department of Cellular Biology, University of Georgia
Jie Zhu: Department of Plant Biology, University of Georgia
Chang Hyun Khang: Department of Plant Biology, University of Georgia
Peter Kner: School of Electrical and Computer Engineering, University of Georgia

DOI: https://doi.org/10.1038/s41467-021-23449-6
Journal volume & issue: Vol. 12, no. 1
pp. 1 – 14

Abstract

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Optical aberrations in Structured Illumination Microscopy (SIM) can lead to loss of resolution and artifacts making it unsuitable for thick samples. Here the authors combine Adaptive Optics and SIM (AO-3DSIM) to improve the 3D resolution and reduce artifacts, performing 3D-SIM in C.elegans.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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