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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...

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Detalles Bibliográficos
Autores principales: Ward, Alexander O., Janbandhu, Vaibhao, Chapman, Gavin, Dunwoodie, Sally L., Harvey, Richard P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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
Descripción
Sumario: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).