Quantitative reconstruction of time-varying 3D cell forces with traction force optical coherence microscopy
Abstract
Cellular traction forces (CTFs) play an integral role in both physiological processes and disease, and are a topic of interest in mechanobiology. Traction force microscopy (TFM) is a family of methods used to quantify CTFs in a variety of settings. State-of-the-art 3D TFM methods typically rely on confocal fluorescence microscopy, which can impose limitations on acquisition speed, volumetric coverage, and temporal sampling or coverage. In this report, we present the first quantitative implementation of a new TFM technique: traction force optical coherence microscopy (TF-OCM). TF-OCM leverages the capabilities of optical coherence microscopy and computational adaptive optics (CAO) to enable the quantitative reconstruction of 3D CTFs in scattering media with minute-scale temporal resolution. We applied TF-OCM to quantify CTFs exerted by isolated NIH-3T3 fibroblasts embedded in Matrigel, with five-minute temporal sampling, using images which spanned a 500x500x500 m3 field-of-view. Due to the reliance of TF-OCM on computational imaging methods, we have provided extensive discussion of the underlying equations, assumptions, and failure modes of these methods. TF-OCM has the potential to advance studies of biomechanical behavior in scattering media, and may be especially well-suited to the study of cell collectives such as spheroids, a prevalent model in mechanobiology research.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen
J. A. Mulligan, L. Ling, … S. G. Adie·bioRxiv·Sep 10, 2020
- High-resolution assessment of multidimensional cellular mechanics using label-free refractive-index traction force microscopy
- Traction force reconstruction assessment on real three-dimensional matrices and cellular morphologies
A. Apolinar-Fernandez, J. Barrasa-Fano, … J. A. Sanz-Herrera·bioRxiv·Nov 16, 2022
- TFMLAB: a MATLAB toolbox for 4D traction force microscopy
J. Barrasa Fano, A. Shapeti, … H. Van Oosterwyck·SoftwareXPeer-reviewed·Jul 1, 2021
- Cell Morphology and Biophysical Mechanisms-Informed Traction Force Microscopy Using Machine Learning
Koki Fujiwara, Ryosuke Fujikawa, … Yuichi Sakumura·bioRxiv·May 21, 2025
- Fluctuation-based Super-Resolution Traction Force Microscopy
A. Stubb, R. F. Laine, … J. Ivaska·bioRxiv·Sep 18, 2019