Evidence map›Paper›PMID 41838962›Full record

ArticlePLoS computational biology2026

napariTFM: An open-source tool for traction force microscopy and monolayer stress microscopy.

Artur Ruppel, Dennis Wörthmüller, Martial Balland, François Fagotto

Abstract read
In one paragraph

Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Artur RuppelCentre de Recherche en Biologie Cellulaire de Montpellier (CRBM), UMR5237, University of Montpellier and CNRS, France.ORCID https://orcid.org/0000-0002-2541-8257
Dennis WörthmüllerInstitut Curie, Université PSL, Sorbonne Université, CNRS, Physique des Cellules et Cancer, Paris, France.ORCID https://orcid.org/0000-0001-6443-0112
Martial BallandUniv. Grenoble Alpes, CNRS, LIPhy, Grenoble, France.ORCID https://orcid.org/0000-0002-6585-9735
François FagottoCentre de Recherche en Biologie Cellulaire de Montpellier (CRBM), UMR5237, University of Montpellier and CNRS, France.ORCID https://orcid.org/0000-0002-1495-2112

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular force generation and transmission are fundamental processes driving cell migration, division, tissue morphogenesis, and disease progression. Traction Force Microscopy (TFM) and Monolayer Stress Microscopy (MSM) have emerged as essential techniques for quantifying these mechanical processes, but current software solutions are fragmented across multiple platforms with varying degrees of usability and accessibility. Here, we present napariTFM, a comprehensive open-source plugin for the napari image viewer that integrates state-of-the-art algorithms for both TFM and MSM analysis within an intuitive graphical user interface. The software implements TV-L1 optical flow for displacement analysis, Fourier Transform Traction Cytometry (FTTC) for force reconstruction, and finite element methods for stress calculation, supporting both single-frame and time-series analysis of 2D microscopy data. Systematic validation using synthetic datasets with known ground truth values demonstrated excellent accuracy, with correlation coefficients above 0.9 for most situations. Real-time parameter adjustment and immediate visualization capabilities enable interactive optimization of analysis parameters and quality assessment during processing. Finally, we demonstrate the software's capabilities through analysis of optogenetic contractility experiments in cell doublets. napariTFM addresses critical gaps in the cellular mechanics software ecosystem by combining algorithmic rigor with practical usability, providing the research community with an accessible platform for quantitative studies of cellular force generation and transmission.

Indexed as

Image Processing, Computer-AssistedMicroscopyMicroscopy, Atomic ForceSoftwareAlgorithmsAnimalsCell MovementComputational BiologyFourier AnalysisHumansStress, Mechanical

Identifiers

PMID41838962
PMCPMC13020755

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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.