Automated assessment of human engineered heart tissues using deep learning and template matching for segmentation and tracking.

ABSTRACT: The high rate of drug withdrawal from the market due to cardiovascular toxicity or lack of efficacy, the economic burden, and extremely long time before a compound reaches the market, have increased the relevance of human in vitro models like human (patient-derived) pluripotent stem cell (hPSC)-derived engineered heart tissues (EHTs) for the evaluation of the efficacy and toxicity of compounds at the early phase in the drug development pipeline. Consequently, the EHT contractile properties are highly relevant parameters for the analysis of cardiotoxicity, disease phenotype, and longitudinal measurements of cardiac function over time. In this study, we developed and validated the software HAARTA (Highly Accurate, Automatic and Robust Tracking Algorithm), which automatically analyzes contrac

SUBMITTER: Rivera-Arbelaez JM 

PROVIDER: S-EPMC10189437 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature