ArticleScientific reports2020
Epifluorescence-based three-dimensional traction force microscopy.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Digital Volume Correlation Challenge 2.0: A Comprehensive Dataset for Digital Volume Correlation Benchmarking.Research square · 2026Article
- 3D force microscopy for volumetric quantification of ultrasound-induced loading: applications for bone repair.Biomechanics and modeling in mechanobiology · 2025Article
- Aligned Collagen Fibers Drive Distinct Traction Force Signatures to Regulate Contact Guidance.ACS nano · 2025Article
- Uncertainty-aware traction force microscopy.PLoS computational biology · 2025Article
- Tissue-like multicellular development triggered by mechanical compression in archaea.Science (New York, N.Y.) · 2025Article
- 3D Traction Force Microscopy in Biological Gels: From Single Cells to Multicellular Spheroids.Annual review of biomedical engineering · 2024Review
- Mechanosensitive traction force generation is regulated by the neutrophil activation state.Scientific reports · 2023Article
- Trends in mechanobiology guided tissue engineering and tools to study cell-substrate interactions: a brief review.Biomaterials research · 2023Review
- Nanocomposite Hydrogels as Functional Extracellular Matrices.Gels (Basel, Switzerland) · 2023Review
- JEasyTFM: an open-source software package for the analysis of large 2D TFM data within ImageJ.Bioinformatics advances · 2023Article
- Deep-learning-based 3D cellular force reconstruction directly from volumetric images.Biophysical journal · 2022Article
- Light-Sheet Scattering Microscopy to Visualize Long-Term Interactions Between Cells and Extracellular Matrix.Frontiers in immunology · 2022Article
- May the force be with your (immune) cells: an introduction to traction force microscopy in Immunology.Frontiers in immunology · 2022Review
- The biophysics of cancer: emerging insights from micro- and nanoscale tools.Advanced nanobiomed research · 2022Article
- Physics and Physiology of Cell Spreading in Two and Three Dimensions.Physiology (Bethesda, Md.) · 2021Article
- Imaging methods in mechanosensing: a historical perspective and visions for the future.Molecular biology of the cell · 2021Review
- The Pertinent Role of Cell and Matrix Mechanics in Cell Adhesion and Migration.Frontiers in cell and developmental biology · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
Abstract
We introduce a novel method to compute three-dimensional (3D) displacements and both in-plane and out-of-plane tractions on nominally planar transparent materials using standard epifluorescence microscopy. Despite the importance of out-of-plane components to fully understanding cell behavior, epifluorescence images are generally not used for 3D traction force microscopy (TFM) experiments due to limitations in spatial resolution and measuring out-of-plane motion. To extend an epifluorescence-based technique to 3D, we employ a topology-based single particle tracking algorithm to reconstruct high spatial-frequency 3D motion fields from densely seeded single-particle layer images. Using an open-source finite element (FE) based solver, we then compute the 3D full-field stress and strain and surface traction fields. We demonstrate this technique by measuring tractions generated by both single human neutrophils and multicellular monolayers of Madin-Darby canine kidney cells, highlighting its acuity in reconstructing both individual and collective cellular tractions. In summary, this represents a new, easily accessible method for calculating fully three-dimensional displacement and 3D surface tractions at high spatial frequency from epifluorescence images. We released and support the complete technique as a free and open-source code package.
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Registered trials
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.