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An image analysis protocol using CellProfiler for automated quantification of post-ischemic cardiac parameters
Quantitative assessment of post-ischemic cardiac remodeling is often hampered by tissue complexity and structural heterogeneity of the scar. Automated quantification of microscopy images offers an unbiased approach to reduce inter-observer variability. Here, we present a CellProfiler-based analytica...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076969/ https://www.ncbi.nlm.nih.gov/pubmed/35535162 http://dx.doi.org/10.1016/j.xpro.2021.101097 |
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author | Ward, Alexander O. Janbandhu, Vaibhao Chapman, Gavin Dunwoodie, Sally L. Harvey, Richard P. |
author_facet | Ward, Alexander O. Janbandhu, Vaibhao Chapman, Gavin Dunwoodie, Sally L. Harvey, Richard P. |
author_sort | Ward, Alexander O. |
collection | PubMed |
description | Quantitative assessment of post-ischemic cardiac remodeling is often hampered by tissue complexity and structural heterogeneity of the scar. Automated quantification of microscopy images offers an unbiased approach to reduce inter-observer variability. Here, we present a CellProfiler-based analytical pipeline for the high-throughput analysis of confocal images to quantify post-ischemic cardiac parameters. We describe image preprocessing and the quantification of capillary rarefaction, immune cell infiltration, cell death, and proliferating fibroblasts. This protocol can be adapted to other tissue types. For complete details on the use and execution of this profile, please refer to Janbandhu et al. (2021). |
format | Online Article Text |
id | pubmed-9076969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90769692022-05-08 An image analysis protocol using CellProfiler for automated quantification of post-ischemic cardiac parameters Ward, Alexander O. Janbandhu, Vaibhao Chapman, Gavin Dunwoodie, Sally L. Harvey, Richard P. STAR Protoc Protocol Quantitative assessment of post-ischemic cardiac remodeling is often hampered by tissue complexity and structural heterogeneity of the scar. Automated quantification of microscopy images offers an unbiased approach to reduce inter-observer variability. Here, we present a CellProfiler-based analytical pipeline for the high-throughput analysis of confocal images to quantify post-ischemic cardiac parameters. We describe image preprocessing and the quantification of capillary rarefaction, immune cell infiltration, cell death, and proliferating fibroblasts. This protocol can be adapted to other tissue types. For complete details on the use and execution of this profile, please refer to Janbandhu et al. (2021). Elsevier 2022-01-17 /pmc/articles/PMC9076969/ /pubmed/35535162 http://dx.doi.org/10.1016/j.xpro.2021.101097 Text en Crown Copyright © 2021. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Ward, Alexander O. Janbandhu, Vaibhao Chapman, Gavin Dunwoodie, Sally L. Harvey, Richard P. An image analysis protocol using CellProfiler for automated quantification of post-ischemic cardiac parameters |
title | An image analysis protocol using CellProfiler for automated quantification of post-ischemic cardiac parameters |
title_full | An image analysis protocol using CellProfiler for automated quantification of post-ischemic cardiac parameters |
title_fullStr | An image analysis protocol using CellProfiler for automated quantification of post-ischemic cardiac parameters |
title_full_unstemmed | An image analysis protocol using CellProfiler for automated quantification of post-ischemic cardiac parameters |
title_short | An image analysis protocol using CellProfiler for automated quantification of post-ischemic cardiac parameters |
title_sort | image analysis protocol using cellprofiler for automated quantification of post-ischemic cardiac parameters |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9076969/ https://www.ncbi.nlm.nih.gov/pubmed/35535162 http://dx.doi.org/10.1016/j.xpro.2021.101097 |
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