Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation

Advances in microscopy hold great promise for allowing quantitative and precise measurement of morphological and molecular phenomena at the single-cell level in bacteria; however, the potential of this approach is ultimately limited by the availability of methods to faithfully segment cells independ...

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Bibliographic Details
Published in:	Nature methods Vol. 19; no. 11; pp. 1438 - 1448
Main Authors:	Cutler, Kevin J., Stringer, Carsen, Lo, Teresa W., Rappez, Luca, Stroustrup, Nicholas, Brook Peterson, S., Wiggins, Paul A., Mougous, Joseph D.
Format:	Journal Article
Language:	English
Published:	New York Nature Publishing Group US 01.11.2022 Nature Publishing Group
Subjects:	631/1647/245 631/326/41 Algorithms Antagonism Antibiotics Artificial neural networks Bacteria Bioinformatics Biological Microscopy Biological Techniques Biomedical and Life Sciences Biomedical Engineering/Biotechnology Cytology Image acquisition Image processing Image Processing, Computer-Assisted - methods Image segmentation Life Sciences Microscopy Morphology Neural networks Optical properties Phenotypes Physical characteristics Proteomics
ISSN:	1548-7091, 1548-7105, 1548-7105
Online Access:	Get full text
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