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Segmentation of Total Cell Area in Brightfield Microscopy Images

Segmentation is one of the most important steps in microscopy image analysis. Unfortunately, most of the methods use fluorescence images for this task, which is not suitable for analysis that requires a knowledge of area occupied by cells and an experimental design that does not allow necessary labe...

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Autor principal: Čepa, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481060/
https://www.ncbi.nlm.nih.gov/pubmed/31164583
http://dx.doi.org/10.3390/mps1040043
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author Čepa, Martin
author_facet Čepa, Martin
author_sort Čepa, Martin
collection PubMed
description Segmentation is one of the most important steps in microscopy image analysis. Unfortunately, most of the methods use fluorescence images for this task, which is not suitable for analysis that requires a knowledge of area occupied by cells and an experimental design that does not allow necessary labeling. In this protocol, we present a simple method, based on edge detection and morphological operations, that separates total area occupied by cells from the background using only brightfield channel image. The resulting segmented picture can be further used as a mask for fluorescence quantification and other analyses. The whole procedure is carried out in open source software Fiji.
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spelling pubmed-64810602019-05-31 Segmentation of Total Cell Area in Brightfield Microscopy Images Čepa, Martin Methods Protoc Protocol Segmentation is one of the most important steps in microscopy image analysis. Unfortunately, most of the methods use fluorescence images for this task, which is not suitable for analysis that requires a knowledge of area occupied by cells and an experimental design that does not allow necessary labeling. In this protocol, we present a simple method, based on edge detection and morphological operations, that separates total area occupied by cells from the background using only brightfield channel image. The resulting segmented picture can be further used as a mask for fluorescence quantification and other analyses. The whole procedure is carried out in open source software Fiji. MDPI 2018-11-19 /pmc/articles/PMC6481060/ /pubmed/31164583 http://dx.doi.org/10.3390/mps1040043 Text en © 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Protocol
Čepa, Martin
Segmentation of Total Cell Area in Brightfield Microscopy Images
title Segmentation of Total Cell Area in Brightfield Microscopy Images
title_full Segmentation of Total Cell Area in Brightfield Microscopy Images
title_fullStr Segmentation of Total Cell Area in Brightfield Microscopy Images
title_full_unstemmed Segmentation of Total Cell Area in Brightfield Microscopy Images
title_short Segmentation of Total Cell Area in Brightfield Microscopy Images
title_sort segmentation of total cell area in brightfield microscopy images
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481060/
https://www.ncbi.nlm.nih.gov/pubmed/31164583
http://dx.doi.org/10.3390/mps1040043
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