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

Alexander O Ward; Vaibhao Janbandhu; Gavin Chapman; Sally L Dunwoodie; Richard P Harvey

doi:10.1016/j.xpro.2021.101097

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

STAR Protoc. 2022 Jan 17;3(1):101097. doi: 10.1016/j.xpro.2021.101097. eCollection 2022 Mar 18.

Authors

Alexander O Ward^{1

2}, Vaibhao Janbandhu^{1

2}, Gavin Chapman^{1

2}, Sally L Dunwoodie^{1

2

3}, Richard P Harvey^{1

2

3}

Affiliations

¹ Victor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia.
² St. Vincent's Clinical School, UNSW Sydney, Sydney, NSW, Australia.
³ School of Biotechnology and Biomolecular Science, UNSW Sydney, Sydney, NSW, Australia.

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).

Keywords: Cell Biology; Computer sciences; Microscopy.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Cicatrix
Heart*
Humans
Image Processing, Computer-Assisted* / methods