ArticlePloS one2017
Factors influencing the determination of cell traction forces.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Uncertainty-aware traction force microscopy.PLoS computational biology · 2025Article
- Discrete network models of endothelial cells and their interactions with the substrate.Biomechanics and modeling in mechanobiology · 2024Article
- Field Guide to Traction Force Microscopy.Cellular and molecular bioengineering · 2024Review
- Fluctuation-Based Super-Resolution Traction Force Microscopy.Nano letters · 2020Article
- Mechanobiology Assays with Applications in Cardiomyocyte Biology and Cardiotoxicity.Advanced healthcare materials · 2020Review
- Quantifying single-platelet biomechanics: An outsider's guide to biophysical methods and recent advances.Research and practice in thrombosis and haemostasis · 2020Review
- Elevated BMP and Mechanical Signaling Through YAP1/RhoA Poises FOP Mesenchymal Progenitors for Osteogenesis.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2019Article
- Holographic Traction Force Microscopy.Scientific reports · 2018Article
- Plasmonic micropillars for precision cell force measurement across a large field-of-view.Applied physics letters · 2018Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Methods summarized by the term Traction Force Microscopy are widely used to quantify cellular forces in mechanobiological studies. These methods are inverse, in the sense that forces must be determined such that they comply with a measured displacement field. This study investigates how several experimental and analytical factors, originating in the realization of the experiments and the procedures for the analysis, affect the determined traction forces. The present results demonstrate that even for very high resolution measurements free of noise, traction forces can be significantly underestimated, while traction peaks are typically overestimated by 50% or more, even in the noise free case. Compared to this errors, which are inherent to the nature of the mechanical problem and its discretization, the effect of ignoring the out-of-plane displacement component, the interpolation scheme used between the discrete measurement points and the disregard of the geometrical non-linearities when using a nearly linear substrate material are less consequential. Nevertheless, a nonlinear elastic substrate, with strain-stiffening response and some degree of compressibility, can substantially improve the robustness of the reconstruction of traction forces over a wide range of magnitudes. This poses the need for a correct mechanical representation of these non-linearities during the traction reconstruction and a correct mechanical characterization of the substrate itself, especially for the large strain shear domain which is shown to plays a major role in the deformations induced by cells.
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Registered trials
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