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Robust microbial cell segmentation by optical‐phase thresholding with minimal processing requirements

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 ind...

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Autores principales: Alanazi, H., Canul, A. J., Garman, A., Quimby, J., Vasdekis, A. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585648/
https://www.ncbi.nlm.nih.gov/pubmed/28371011
http://dx.doi.org/10.1002/cyto.a.23099
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author Alanazi, H.
Canul, A. J.
Garman, A.
Quimby, J.
Vasdekis, A. E.
author_facet Alanazi, H.
Canul, A. J.
Garman, A.
Quimby, J.
Vasdekis, A. E.
author_sort Alanazi, H.
collection PubMed
description 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 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry.
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spelling pubmed-65856482019-06-27 Robust microbial cell segmentation by optical‐phase thresholding with minimal processing requirements Alanazi, H. Canul, A. J. Garman, A. Quimby, J. Vasdekis, A. E. Cytometry A Technical Note 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 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry. John Wiley and Sons Inc. 2017-03-30 2017-05 /pmc/articles/PMC6585648/ /pubmed/28371011 http://dx.doi.org/10.1002/cyto.a.23099 Text en © 2017 The Authors. Cytometry Part A published by Wiley Periodicals, Inc. on behalf of International Society for Advancement of Cytometry This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Technical Note
Alanazi, H.
Canul, A. J.
Garman, A.
Quimby, J.
Vasdekis, A. E.
Robust microbial cell segmentation by optical‐phase thresholding with minimal processing requirements
title Robust microbial cell segmentation by optical‐phase thresholding with minimal processing requirements
title_full Robust microbial cell segmentation by optical‐phase thresholding with minimal processing requirements
title_fullStr Robust microbial cell segmentation by optical‐phase thresholding with minimal processing requirements
title_full_unstemmed Robust microbial cell segmentation by optical‐phase thresholding with minimal processing requirements
title_short Robust microbial cell segmentation by optical‐phase thresholding with minimal processing requirements
title_sort robust microbial cell segmentation by optical‐phase thresholding with minimal processing requirements
topic Technical Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6585648/
https://www.ncbi.nlm.nih.gov/pubmed/28371011
http://dx.doi.org/10.1002/cyto.a.23099
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