Non-invasive single-cell morphometry in living bacterial biofilms
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).
Enregistré dans:
Auteurs principaux: | Mingxing Zhang, Ji Zhang, Yibo Wang, Jie Wang, Alecia M. Achimovich, Scott T. Acton, Andreas Gahlmann |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2020
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Sujets: | |
Accès en ligne: | https://doaj.org/article/7a9bc6ded39a44f8ba843f3cc5a84278 |
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