Evidence map›Paper›PMID 41461906›Full record

ReviewNature methods2026

Guidance for 3D traction force microscopy today and in the next decade.

Jorge Barrasa-Fano, Apeksha Shapeti, Alejandro Apolinar-Fernández, Laurens Kimps, Bart Smeets, José Antonio Sanz-Herrera, Hans Van Oosterwyck

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature methods, 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
–field-weighted citation impact
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

7 authors.

Jorge Barrasa-FanoBiomechanics division, Department of Mechanical Engineering, KU Leuven, Leuven, Belgium. jorge.barrasafano@kuleuven.be.ORCID http://orcid.org/0000-0002-8650-0457
Apeksha ShapetiBiomechanics division, Department of Mechanical Engineering, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-9177-3986
Alejandro Apolinar-FernándezEscuela Técnica Superior de Ingeniería, Universidad de Sevilla, Seville, Spain.
Laurens KimpsBiomechanics division, Department of Mechanical Engineering, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-2926-9153
Bart SmeetsBIOSYST-MeBioS, KU Leuven, Leuven, Belgium.
José Antonio Sanz-HerreraEscuela Técnica Superior de Ingeniería, Universidad de Sevilla, Seville, Spain.
Hans Van OosterwyckBiomechanics division, Department of Mechanical Engineering, KU Leuven, Leuven, Belgium. hans.vanoosterwyck@kuleuven.be.ORCID http://orcid.org/0000-0002-2142-9717

Funding

Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 1259223NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 12Z6118NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) 1S68818NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) G0C2422NFonds Wetenschappelijk Onderzoek (Research Foundation Flanders) I009718NKU Leuven (Katholieke Universiteit Leuven) 21/083 CKU Leuven (Katholieke Universiteit Leuven) C14/18/055KU Leuven (Katholieke Universiteit Leuven) C14/24/112
6 · The paper itself

Abstract

The field of mechanobiology studies how mechanical forces influence cell behavior, relying on tools like traction force microscopy (TFM) to quantify cell forces exerted on the extracellular matrix. While well established for two-dimensional in vitro systems, its three-dimensional form, 3DTFM, remains underutilized despite notable technical advancements. Here, we outline common skepticism about 3DTFM, detailing current experimental and computational strategies to address its limitations. We describe how to integrate 3DTFM with biological readouts, focusing on its application in long-term experiments. We discuss metrics for data interpretation and how pairing these with optimal traction recovery methods can address specific biological questions. Finally, we outline future directions by proposing combinations with emerging technologies to address challenges like extracellular matrix heterogeneity and intracellular stress analysis within three-dimensional cell clusters. By addressing these critical gaps, this Perspective aims to advance 3DTFM's utility, promote its broader adoption and guide future developments in mechanobiology.

Indexed as

Imaging, Three-DimensionalMicroscopy, Atomic ForceAnimalsBiomechanical PhenomenaExtracellular MatrixHumans

Identifiers

PMID41461906

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.