Evidence map›Paper›PMID 42206969›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Traction Force Microscopy for Viscoelastic Substrates: A Semi-Analytical Method.

Adrià Villacrosa-Ribas, Daniëlle C A Duffhues, Pim van den Bersselaar, Sarah Pragnere, Bart G W Groenen, Mariana Azevedo Gonzalez Oliva, Giuseppe Ciccone, Manuel Salmeron-Sanchez, Carlijn V C Bouten, Jose J Muñoz and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Adrià Villacrosa-RibasDepartment of Biomedical Engineering, Eindhoven University of Technology (TU/e), Eindhoven, Netherlands.ORCID https://orcid.org/0009-0009-4816-2336
Daniëlle C A DuffhuesDepartment of Biomedical Engineering, Eindhoven University of Technology (TU/e), Eindhoven, Netherlands.ORCID https://orcid.org/0009-0001-0142-6391
Pim van den BersselaarDepartment of Biomedical Engineering, Eindhoven University of Technology (TU/e), Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-8995-0648
Sarah PragnereDepartment of Biomedical Engineering, Eindhoven University of Technology (TU/e), Eindhoven, Netherlands.ORCID https://orcid.org/0000-0003-2775-3582
Bart G W GroenenDepartment of Biomedical Engineering, Eindhoven University of Technology (TU/e), Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-0790-3494
Mariana Azevedo Gonzalez OlivaInstitute For Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID https://orcid.org/0000-0002-3195-067X
Giuseppe CicconeInstitute For Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID https://orcid.org/0000-0002-7677-6257
Manuel Salmeron-SanchezInstitute For Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.ORCID https://orcid.org/0000-0002-8112-2100
Carlijn V C BoutenDepartment of Biomedical Engineering, Eindhoven University of Technology (TU/e), Eindhoven, Netherlands.ORCID https://orcid.org/0000-0003-1035-5094
Jose J MuñozDepartment of Mathematics, Polytechnic University of Catalonia (UPC), Barcelona, Spain.ORCID https://orcid.org/0000-0002-0083-3673
Vito ConteDepartment of Biomedical Engineering, Eindhoven University of Technology (TU/e), Eindhoven, Netherlands.ORCID https://orcid.org/0000-0002-7439-2866

Funding

European Research Council AdG 101054726European Research Council AdG 101054728J.J.M. acknowledges financial support from the Spanish Ministry of Science and Innovation and the local government of Generalitat de Catalunya PID2020-116141GB-I00J.J.M. acknowledges financial support from the Spanish Ministry of Science and Innovation and the local government of Generalitat de Catalunya SGR202101049
6 · The paper itself

Abstract

Traction force microscopy (TFM) quantifies cellular forces at the cell-extracellular matrix interface, yet elastic formulations neglect viscous dissipation and can misinterpret cellular forces on viscoelastic substrates. We introduce a semi-analytical 2D viscoelastic TFM (veTFM) that generalizes the Boussinesq framework of elastic TFM to Generalized Maxwell (GMX) substrates with one or two components. By combining Fourier and Laplace transforms, veTFM quantifies time-resolved tractions in finite-thickness substrates and resolves stress-free reference and substrate pre-stress. We derive criteria for when elastic regimes remain valid in this framework. This positions veTFM as a scalable extension of standard 2D TFM (eTFM) to viscoelastic substrates, identifying when eTFM remains sufficient, which elastic limit applies, and when full viscoelastic quantification is required. Applied to beating cardiomyocytes, epithelial cells, and dermal fibroblasts cultured on linear-polyacrylamide and alginate viscoelastic hydrogels, veTFM shows that the elastic or viscoelastic regime engaged by the cell depends on timescale matching between the loading rate and the substrate's relaxation times. Notably, for the Generalized Maxwell substrates analyzed here, viscoelastic traction magnitudes scale with the substrate's total dissipation rather than individual relaxation times, with total dissipation setting traction magnitude and timescale matching determining whether the cell engages the substrate in an elastic or viscoelastic regime.

Indexed as

ElasticityExtracellular MatrixFibroblastsMicroscopy, Atomic ForceMyocytes, CardiacAnimalsEpithelial CellsHumansHydrogelsViscosityHydrogelscell–material interactionssemi‐analytical methodsstress relaxationviscoelastic hydrogelsviscoelastic traction force microscopy

Identifiers

PMID42206969
PMCPMC13335583

What OpenQuestion holds

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Registered trials

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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.