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Cited by 349

The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.

Traction force microscopy in physics and biology

Style, Robert W., Boltyanskiy, Rostislav, German, Guy K., Hyland, Callen, MacMinn, Christopher W., Mertz, Aaron F., Wilen, Larry A., Xu, Ye, Dufresne, Eric R.·2014·Soft Matter

Abstract

Adherent cells, crawling slugs, peeling paint, sessile liquid drops, bearings and many other living and non-living systems apply forces to solid substrates. Traction force microscopy (TFM) provides spatially-resolved measurements of interfacial forces through the quantification and analysis of the deformation of an elastic substrate. Although originally developed for adherent cells, TFM has no inherent size or force scale, and can be applied to a much broader range of mechanical systems across physics and biology. In this paper, we showcase the wide range of applicability of TFM, describe the theory, and provide experimental details and code so that experimentalists can rapidly adopt this powerful technique.

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Crossref · 10.1039/c4sm00264d

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Metadata

Authors
Style, R. W., Boltyanskiy, R., German, G. K., Hyland, C., MacMinn, C. W., Mertz, A. F., Wilen, L. A., Xu, Y., & Dufresne, E. R.
Venue
Soft Matter
Published
2014
Volume
10
Issue
23
Pages
4047
ISSN
  • 1744-683X (ISSN-L)
  • 1744-6848
OpenAlex
W1975449371
Cited by
349
References
78
FWCI
13.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Traction force microscopy in physics and biology. https://app.cochat.ai/papers/10.1039/c4sm00264d
The paper
Style, R. W., Boltyanskiy, R., German, G. K., Hyland, C., MacMinn, C. W., Mertz, A. F., Wilen, L. A., Xu, Y., & Dufresne, E. R. (2014). Traction force microscopy in physics and biology. Soft Matter. https://doi.org/10.1039/c4sm00264d

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.