ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2017
Robust microbial cell segmentation by optical-phase thresholding with minimal processing requirements.
Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Quantitative phase imaging by gradient retardance optical microscopy.Scientific reports · 2024Article
- Density fluctuations, homeostasis, and reproduction effects in bacteria.Communications biology · 2022Article
- Self-supervised pretraining for transferable quantitative phase image cell segmentation.Biomedical optics express · 2021Article
- Spatial light interference microscopy: principle and applications to biomedicine.Advances in optics and photonics · 2021Article
- Article
- Integrative quantitative-phase and airy light-sheet imaging.Scientific reports · 2020Article
- Three-dimensional label-free observation of individual bacteria upon antibiotic treatment using optical diffraction tomography.Biomedical optics express · 2020Article
- Automated morphometry toolbox for analysis of microscopic model organisms using simple bright-field imaging.Biology open · 2019Article
- Eliciting the impacts of cellular noise on metabolic trade-offs by quantitative mass imaging.Nature communications · 2019Article
- Article
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5 authors.
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Abstract
High-throughput imaging with single-cell resolution has enabled remarkable discoveries in cell physiology and Systems Biology investigations. A common, and often the most challenging step in all such imaging implementations, is the ability to segment multiple images to regions that correspond to individual cells. Here, a robust segmentation strategy for microbial cells using Quantitative Phase Imaging is reported. The proposed method enables a greater than 99% yeast cell segmentation success rate, without any computationally-intensive, post-acquisition processing. We also detail how the method can be expanded to bacterial cell segmentation with 98% success rates with substantially reduced processing requirements in comparison to existing methods. We attribute this improved performance to the remarkably uniform background, elimination of cell-to-cell and intracellular optical artifacts, and enhanced signal-to-background ratio-all innate properties of imaging in the optical-phase domain. © 2017 International Society for Advancement of Cytometry.
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