ArticlePloS one2022
Contractility analysis of human engineered 3D heart tissues by an automatic tracking technique using a standalone application.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Dose-dependent effects and mechanisms of exercise-like stimulation on cardiac injury and contractile function: outcomes of the MICRO-ATHLETE study.Basic research in cardiology · 2026Article
- Restoration of structural organization in engineered cardiac microtissues is promoted by cardiomyocyte beating.Communications biology · 2026Article
- Cross-modal integration of metabolomics and cardiac functionality captures dynamic metabotoxic effects of doxorubicin in engineered heart tissues.Stem cell reports · 2026Article
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- FORCETRACKER: A versatile tool for standardized assessment of tissue contractile properties in 3D Heart-on-Chip platforms.PloS one · 2025Article
- Article
- Article
- Unlocking cardiac motion: assessing software and machine learning for single-cell and cardioid kinematic insights.Scientific reports · 2024Article
- MicroBundleCompute: Automated segmentation, tracking, and analysis of subdomain deformation in cardiac microbundles.PloS one · 2024Article
- MicroBundlePillarTrack: A Python package for automated segmentation, tracking, and analysis of pillar deflection in cardiac microbundles.microPublication biology · 2024Article
- Continuous contractile force and electrical signal recordings of 3D cardiac tissue utilizing conductive hydrogel pillars on a chip.Materials today. Bio · 2023Article
- Automated assessment of human engineered heart tissues using deep learning and template matching for segmentation and tracking.Bioengineering & translational medicine · 2023Article
- Engineered human cardiac tissues for modeling heart diseases.BMB reports · 2023Review
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of Engineered Heart Tissues (EHT) as in vitro model for disease modeling and drug screening has increased, as they provide important insight into the genetic mechanisms, cardiac toxicity or drug responses. Consequently, this has highlighted the need for a standardized, unbiased, robust and automatic way to analyze hallmark physiological features of EHTs. In this study we described and validated a standalone application to analyze physiological features of EHTs in an automatic, robust, and unbiased way, using low computational time. The standalone application "EHT Analysis" contains two analysis modes (automatic and manual) to analyzes the contractile properties and the contraction kinetics of EHTs from high speed bright field videos. As output data, the graphs of displacement, contraction force and contraction kinetics per file will be generated together with the raw data. Additionally, it also generates a summary file containing all the data from the analyzed files, which facilitates and speeds up the post analysis. From our study we highlight the importance of analyzing the axial stress which is the force per surface area (μN/mm2). This allows to have a readout overtime of tissue compaction, axial stress and leave the option to calculate at the end point of an experiment the physiological cross-section area (PSCA). We demonstrated the utility of this tool by analyzing contractile properties and compaction over time of EHTs made out of a double reporter human pluripotent stem cell (hPSC) line (NKX2.5EGFP/+-COUP-TFIImCherry/+) and different ratios of human adult cardiac fibroblasts (HCF). Our standalone application "EHT Analysis" can be applied for different studies where the physiological features of EHTs needs to be analyzed under the effect of a drug compound or in a disease model.
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