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FM-Track: A fiducial marker tracking software for studying cell mechanics in a three-dimensional environment.
Article in SoftwareX. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- 3D Contractile and Remodeling Behaviors of Functionally Normal and Prolapsed Human Mitral Valve Interstitial Cells.Annals of biomedical engineering · 2026Article
- A computational approach that accounts for hydrogel compressibility in cellular traction force microscopy.Computers in biology and medicine · 2026Article
- Effects of Stiffness and Degradability on Cardiac Fibroblast Contractility and Extracellular Matrix Secretion in Three-Dimensional Hydrogel Scaffolds.ACS biomaterials science & engineering · 2025Article
- 3D Contractile and Remodeling Behaviors of Functionally Normal and Prolapsed Human Mitral Valve Interstitial Cells.bioRxiv : the preprint server for biology · 2025Article
- Multicellularity, Culture Duration, and Hydrogel Stiffness Guide Induced Pluripotent Stem Cell-Derived Endothelial Progenitor Cell Contractility.bioRxiv : the preprint server for biology · 2025Article
- Nonlinear Elastic Bottlebrush Polymer Hydrogels Modulate Actomyosin Mediated Protrusion Formation in Mesenchymal Stromal Cells.Advanced materials (Deerfield Beach, Fla.) · 2024Article
- An Inverse Modeling Approach to Estimate Three-Dimensional Aortic Valve Interstitial Cell Stress Fiber Force Levels.Journal of biomechanical engineering · 2023Article
- Functional differences in human aortic valve interstitial cells from patients with varying calcific aortic valve disease.Frontiers in physiology · 2023Article
- Sarc-Graph: Automated segmentation, tracking, and analysis of sarcomeres in hiPSC-derived cardiomyocytes.PLoS computational biology · 2021Article
- On the Three-Dimensional Correlation Between Myofibroblast Shape and Contraction.Journal of biomechanical engineering · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Tracking the deformation of fiducial markers in the vicinity of living cells embedded in compliant synthetic or biological gels is a powerful means to study cell mechanics and mechanobiology in three-dimensional environments. However, current approaches to track and quantify three-dimensional (3D) fiducial marker displacements remain ad-hoc, can be difficult to implement, and may not produce reliable results. Herein, we present a compact software package entitled "FM-Track," written in the popular Python language, to facilitate feature-based particle tracking tailored for 3D cell micromechanical environment studies. FM-Track contains functions for pre-processing images, running fiducial marker tracking, and post-processing and visualization. FM-Track can thus aid the study of cellular mechanics and mechanobiology by providing an extensible software platform to more reliably extract complex local 3D cell contractile information in transparent compliant gel systems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.