ArticlePLoS computational biology2021
pyTFM: A tool for traction force and monolayer stress microscopy.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 47 citations in OpenAlex.
- Volume and surface methods for microparticle traction force microscopy: a computational and experimental comparison.Soft matter · 2026Article
- Mechanosensory encoding of surface mechanics optimizes locomotion.Nature communications · 2026Article
- Modeling mechanochemical coupling in optogenetically activated cell layers.Biophysical journal · 2026Article
- Double Sided Traction Force Microscopy: A Method to Confine Cells for Physiologically Relevant Force Measurements.Cytoskeleton (Hoboken, N.J.) · 2026Article
- Guidance for 3D traction force microscopy today and in the next decade.Nature methods · 2026Review
- napariTFM: An open-source tool for traction force microscopy and monolayer stress microscopy.PLoS computational biology · 2026Article
- Dimensional memory in glioblastoma mechanics: Traction force analysis of cells cultured in 2D versus 3D collagen environments.Bioactive materials · 2026Article
- Uncertainty-aware traction force microscopy.PLoS computational biology · 2025Article
- An Open-source Python Tool for Traction Force Microscopy on Micropatterned Substrates.Bio-protocol · 2025Article
- Mechanics of cell sheets: plectin as an integrator of cytoskeletal networks.Open biology · 2025Review
- Scar matrix drives Piezo1 mediated stromal inflammation leading to placenta accreta spectrum.Nature communications · 2024Article
- Inferring cellular contractile forces and work using deep morphology traction microscopy.Biophysical journal · 2024Article
- Stable and oscillatory hypoxia differentially regulate invasibility of breast cancer associated fibroblasts.Mechanobiology in medicine · 2024Article
- Insights gained from computational modeling of YAP/TAZ signaling for cellular mechanotransduction.NPJ systems biology and applications · 2024Review
- Intracellular tension sensor reveals mechanical anisotropy of the actin cytoskeleton.Nature communications · 2023Article
- Measuring (biological) materials mechanics with atomic force microscopy. 5. Traction force microscopy (cell traction forces).Microscopy research and technique · 2023Review
- MAP4K4 regulates forces at cell-cell and cell-matrix adhesions to promote collective cell migration.Life science alliance · 2023Article
- Force propagation between epithelial cells depends on active coupling and mechano-structural polarization.eLife · 2023Article
- Mapping mechanical stress in curved epithelia of designed size and shape.Nature communications · 2023Article
- JEasyTFM: an open-source software package for the analysis of large 2D TFM data within ImageJ.Bioinformatics advances · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cellular force generation and force transmission are of fundamental importance for numerous biological processes and can be studied with the methods of Traction Force Microscopy (TFM) and Monolayer Stress Microscopy. Traction Force Microscopy and Monolayer Stress Microscopy solve the inverse problem of reconstructing cell-matrix tractions and inter- and intra-cellular stresses from the measured cell force-induced deformations of an adhesive substrate with known elasticity. Although several laboratories have developed software for Traction Force Microscopy and Monolayer Stress Microscopy computations, there is currently no software package available that allows non-expert users to perform a full evaluation of such experiments. Here we present pyTFM, a tool to perform Traction Force Microscopy and Monolayer Stress Microscopy on cell patches and cell layers grown in a 2-dimensional environment. pyTFM was optimized for ease-of-use; it is open-source and well documented (hosted at https://pytfm.readthedocs.io/) including usage examples and explanations of the theoretical background. pyTFM can be used as a standalone Python package or as an add-on to the image annotation tool ClickPoints. In combination with the ClickPoints environment, pyTFM allows the user to set all necessary analysis parameters, select regions of interest, examine the input data and intermediary results, and calculate a wide range of parameters describing forces, stresses, and their distribution. In this work, we also thoroughly analyze the accuracy and performance of the Traction Force Microscopy and Monolayer Stress Microscopy algorithms of pyTFM using synthetic and experimental data from epithelial cell patches.
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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.