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Related Experiment Videos

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

Alexander O Ward1,2, Vaibhao Janbandhu1,2, Gavin Chapman1,2

  • 1Victor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia.

STAR Protocols
|May 10, 2022
PubMed
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This study introduces an automated CellProfiler pipeline to quantify cardiac remodeling after ischemia. The method reduces variability in analyzing complex scar tissue, improving high-throughput analysis of microscopy images.

Area of Science:

  • Cardiovascular Biology
  • Image Analysis
  • Computational Pathology

Background:

  • Assessing post-ischemic cardiac remodeling is challenging due to scar complexity and heterogeneity.
  • Manual quantification of cardiac tissue introduces inter-observer variability.
  • Automated image analysis offers an unbiased approach for high-throughput studies.

Purpose of the Study:

  • To develop and validate a CellProfiler-based pipeline for automated quantification of cardiac parameters post-ischemia.
  • To enable high-throughput analysis of confocal microscopy images.
  • To provide an adaptable protocol for other tissue types.

Main Methods:

  • Image preprocessing of confocal microscopy data.
  • Development of a CellProfiler pipeline for automated quantification.
Keywords:
Cell BiologyComputer sciencesMicroscopy

Related Experiment Videos

  • Analysis of capillary rarefaction, immune cell infiltration, cell death, and fibroblast proliferation.
  • Main Results:

    • Successful implementation of a CellProfiler pipeline for quantitative assessment of cardiac remodeling.
    • Demonstrated high-throughput analysis capabilities for post-ischemic cardiac parameters.
    • Quantification of key features including capillary rarefaction and immune cell infiltration.

    Conclusions:

    • The developed CellProfiler pipeline provides an unbiased and efficient method for quantifying post-ischemic cardiac remodeling.
    • This automated approach can reduce inter-observer variability in scar tissue analysis.
    • The protocol is adaptable for analyzing various tissue types in microscopy studies.