ArticleCurrent protocols2021
High-Resolution, Highly-Integrated Traction Force Microscopy Software.
Article in Current protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- High-Throughput Focal Adhesion Analysis Software for Automated Detection, Tracking, and Classification of Cell-Matrix Adhesions.Current protocols · 2026Article
- The PAX3-FOXO1 fusion gene reduces cell-ECM interactions and TGFβ signaling in rhabdomyosarcoma.The Journal of cell biology · 2025Article
- TRPV4 Dominates High Shear-Induced Initial Traction Response and Long-Term Relaxation Over Piezo1.bioRxiv : the preprint server for biology · 2025Article
- An Open-source Python Tool for Traction Force Microscopy on Micropatterned Substrates.Bio-protocol · 2025Article
- Transient low shear-stress preconditioning influences long-term endothelial traction and alignment under high shear flow.American journal of physiology. Heart and circulatory physiology · 2024Article
- Myosin-independent stiffness sensing by fibroblasts is regulated by the viscoelasticity of flowing actin.Communications materials · 2024Article
- Particle retracking algorithm capable of quantifying large, local matrix deformation for traction force microscopy.PloS one · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Accurate measurement of cellular traction force is critical for understanding physical interaction between cells and the extracellular matrix. Traction force microscopy (TFM) has become the most widely used tool for this purpose. While TFM has made continual progress in terms of resolution and accuracy, there have been challenges regarding obtaining user-friendly software and choosing the right values for parameters and sub-processes associated with the software. Here we provide step-by-step instructions for a MATLAB-based TFM software application equipped with multiple methods for image deformation quantification and force reconstruction, along with clarification on the computational meaning of the parameters within the software. We outline how to choose the optimal sub-methods and values for parameters for each process, depending on the characteristics of images and purpose of the analyses. The software's runtime is 20, 4, and 0.05 min by Fast BEM L1 (Boundary Element Method L1-regularization), Fast BEM L2 (L2-regularization), and FTTC (Fourier Transform Traction Cytometry), respectively, in addition to 7 min of particle-tracking velocimetry-based deformation tracking, for a single image (1280 × 960 pixel) on a standard workstation. Finally, the colocalization accuracies, in reference to a paxillin-GFP image, are compared between the three force reconstruction methods. © 2021 Wiley Periodicals LLC. Basic Protocol 1: Setting up the TFM package in MATLAB Basic Protocol 2: Running the TFM package Alternate Protocol 1: Stage drift correction: Efficient subpixel registration Alternate Protocol 2: Force field calculation: FastBEM.
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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.