Fast and accurate sCMOS noise correction for fluorescence microscopy

Biagio Mandracchia; Xuanwen Hua; Changliang Guo; Jeonghwan Son; Tara Urner; Shu Jia

doi:10.1038/s41467-019-13841-8

Nature Communications (Jan 2020)

Fast and accurate sCMOS noise correction for fluorescence microscopy

Biagio Mandracchia,
Xuanwen Hua,
Changliang Guo,
Jeonghwan Son,
Tara Urner,
Shu Jia

Affiliations

Biagio Mandracchia: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University
Xuanwen Hua: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University
Changliang Guo: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University
Jeonghwan Son: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University
Tara Urner: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University
Shu Jia: The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University

DOI: https://doi.org/10.1038/s41467-019-13841-8
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 12

Abstract

Read online

Scientific complementary metal-oxide semiconductor (sCMOS) cameras have advanced the imaging field, but they often suffer from additional noise compared to CCD sensors. Here the authors present a content-adaptive algorithm for the automatic correction of sCMOS-related noise for fluorescence microscopy.

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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