ArticleSTAR protocols2022
An image analysis protocol using CellProfiler for automated quantification of post-ischemic cardiac parameters.
Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A pathology-to-single-cell framework links SPP1Journal of translational medicine · 2026Article
- Design of CellProfiler-Based Pipelines Enabling the Attribution of Molecular Stress Markers to Specific Tissue and Subcellular Compartments of the Colonic Mucosa.Cellular and molecular gastroenterology and hepatology · 2026Article
- Microvascular preservation and cardiomyocyte hyperplasia underlie adaptive right ventricle development in congenital heart disease-pulmonary arterial hypertension.American journal of physiology. Heart and circulatory physiology · 2025Article
- CardiLect: A combined cross-species lectin histochemistry protocol for the automated analysis of cardiac remodelling.ESC heart failure · 2025Article
- Murine neonatal cardiac regeneration depends on Insulin-like growth factor 1 receptor signaling.Scientific reports · 2024Article
- Integration mapping of cardiac fibroblast single-cell transcriptomes elucidates cellular principles of fibrosis in diverse pathologies.Science advances · 2024Article
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Authors and funding
5 authors.
Funding
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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).
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