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Advances and opportunities in image analysis of bacterial cells and communities

Jeckel, Hannah and Drescher, Knut. (2021) Advances and opportunities in image analysis of bacterial cells and communities. FEMS Microbiology Reviews, 45 (4). fuaa062.

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Abstract

The cellular morphology and sub-cellular spatial structure critically influence the function of microbial cells. Similarly, the spatial arrangement of genotypes and phenotypes in microbial communities has important consequences for cooperation, competition, and community functions. Fluorescence microscopy techniques are widely used to measure spatial structure inside living cells and communities, which often results in large numbers of images that are difficult or impossible to analyze manually. The rapidly evolving progress in computational image analysis has recently enabled the quantification of a large number of properties of single cells and communities, based on traditional analysis techniques and convolutional neural networks. Here, we provide a brief introduction to core concepts of automated image processing, recent software tools, and how to validate image analysis results. We also discuss recent advances in image analysis of microbial cells and communities, and how these advances open up opportunities for quantitative studies of spatiotemporal processes in microbiology, based on image cytometry and adaptive microscope control.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Infection Biology > Microbiology and Biophysics (Drescher)
UniBasel Contributors:Drescher, Knut
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Oxford University Press
ISSN:0168-6445
e-ISSN:1574-6976
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:22 Sep 2021 09:51
Deposited On:22 Sep 2021 09:51

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