ArticleMolecular microbiology2017
Probing bacterial cell biology using image cytometry.
Article in Molecular microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation.Nature methods · 2022Article
- Spatiotemporal localization of proteins in mycobacteria.Cell reports · 2021Article
- Analytics and visualization tools to characterize single-cell stochasticity using bacterial single-cell movie cytometry data.BMC bioinformatics · 2021Article
- BactMAP: An R package for integrating, analyzing and visualizing bacterial microscopy data.Molecular microbiology · 2020Article
- ColiCoords: A Python package for the analysis of bacterial fluorescence microscopy data.PloS one · 2019Article
- The bacterial replisome has factory-like localization.Current genetics · 2018Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Advances in automated fluorescence microscopy have made snapshot and time-lapse imaging of bacterial cells commonplace, yet fundamental challenges remain in analysis. The vast quantity of data collected in high-throughput experiments requires a fast and reliable automated method to analyze fluorescence intensity and localization, cell morphology and proliferation as well as other descriptors. Inspired by effective yet tractable methods of population-level analysis using flow cytometry, we have developed a framework and tools for facilitating analogous analyses in image cytometry. These tools can both visualize and gate (generate subpopulations) more than 70 cell descriptors, including cell size, age and fluorescence. The method is well suited to multi-well imaging, analysis of bacterial cultures with high cell density (thousands of cells per frame) and complete cell cycle imaging. We give a brief description of the analysis of four distinct applications to emphasize the broad applicability of the tool.
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Registered trials
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