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- W2598724994 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." @default.
- W2598724994 created "2017-04-07" @default.
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- W2598724994 date "2017-03-30" @default.
- W2598724994 modified "2023-10-13" @default.
- W2598724994 title "Robust microbial cell segmentation by optical-phase thresholding with minimal processing requirements" @default.
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- W2598724994 doi "https://doi.org/10.1002/cyto.a.23099" @default.
- W2598724994 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6585648" @default.
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