Litcius/Paper detail

An image analysis protocol using CellProfiler for automated quantification of post-ischemic cardiac parameters

Alexander Ward, Vaibhao Janbandhu, Gavin Chapman, Sally L. Dunwoodie, Richard P. Harvey

2022STAR Protocols18 citationsDOIOpen Access PDF

Abstract

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).

Topics & Concepts

PreprocessorComputer sciencePipeline (software)Protocol (science)Artificial intelligenceComputational biologyPattern recognition (psychology)MedicinePathologyBiologyAlternative medicineProgramming languageCell Image Analysis TechniquesAdvanced Fluorescence Microscopy TechniquesSingle-cell and spatial transcriptomics