Non-invasive single-cell morphometry in living bacterial biofilms

Mingxing Zhang; Ji Zhang; Yibo Wang; Jie Wang; Alecia M. Achimovich; Scott T. Acton; Andreas Gahlmann

doi:10.1038/s41467-020-19866-8

Nature Communications (Dec 2020)

Non-invasive single-cell morphometry in living bacterial biofilms

Mingxing Zhang,
Ji Zhang,
Yibo Wang,
Jie Wang,
Alecia M. Achimovich,
Scott T. Acton,
Andreas Gahlmann

Affiliations

Mingxing Zhang: Department of Chemistry, University of Virginia
Ji Zhang: Department of Chemistry, University of Virginia
Yibo Wang: Department of Chemistry, University of Virginia
Jie Wang: Department of Electrical & Computer Engineering, University of Virginia
Alecia M. Achimovich: Department of Molecular Physiology & Biological Physics, University of Virginia School of Medicine
Scott T. Acton: Department of Electrical & Computer Engineering, University of Virginia
Andreas Gahlmann: Department of Chemistry, University of Virginia

DOI: https://doi.org/10.1038/s41467-020-19866-8
Journal volume & issue: Vol. 11, no. 1
pp. 1 – 13

Abstract

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Accurate cell detection in dense bacterial biofilms is challenging. Here, the authors report an image analysis pipeline that is able to accurately segment and classify single bacterial cells in 3D fluorescence images: Bacterial Cell Morphometry 3D (BCM3D).

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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