Victor Chang Cardiac Research Institute, Darlinghurst, NSW, Australia.
St. Vincent's Clinical School, UNSW Sydney, Sydney, NSW, Australia.
STAR Protoc. 2022 Jan 17;3(1):101097. doi: 10.1016/j.xpro.2021.101097. eCollection 2022 Mar 18.
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).
定量评估缺血性心脏重构常常受到组织复杂性和瘢痕结构异质性的阻碍。显微镜图像的自动化定量分析提供了一种减少观察者间变异性的无偏方法。在这里,我们提出了一种基于 CellProfiler 的分析流程,用于高通量分析共聚焦图像,以定量缺血性心脏参数。我们描述了图像预处理以及毛细血管稀疏、免疫细胞浸润、细胞死亡和增殖成纤维细胞的定量。该方案可以适用于其他组织类型。有关此分析流程的使用和执行的完整详细信息,请参阅 Janbandhu 等人(2021 年)。