bioRxivBiophysics
Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen
Abstract
Traction force microscopy (TFM) is an important family of techniques used to measure and study the role of cellular traction forces (CTFs) associated with many biological processes. However, current standard TFM methods rely on imaging techniques that do not provide the experimental capabilities necessary to study CTFs within 3D collective and dynamic systems embedded within optically scattering media. Traction force optical coherence microscopy (TF-OCM) was developed to address these needs, but has only been demonstrated for the study of isolated cells embedded within optically clear media. Here, we present computational 4D-OCM methods that enable the study of dynamic invasion behavior of large tumor spheroids embedded in collagen. Our multi-day, time-lapse imaging data provided detailed visualizations of evolving spheroid morphology, collagen degradation, and collagen deformation, all using label-free scattering contrast. These capabilities, which provided insights into how stromal cells affect cancer progression, significantly expand access to critical data about biophysical interactions of cells with their environment, and lay the foundation for future efforts toward volumetric, time-lapse reconstructions of collective CTFs with TF-OCM.
- assay: imaging
- research focus: cell-cell communication
- research focus: spatial domain detection
- approach: microscopy & imaging analysis
Reproducibility 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
- Quantitative reconstruction of time-varying 3D cell forces with traction force optical coherence microscopy
J. A. Mulligan, X. Feng, S. G. Adie·bioRxiv·Oct 16, 2018
- 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
- Collective forces of tumor spheroids in three-dimensional biopolymer networks
C. Mark, T. J. Grundy, … B. Fabry·bioRxiv·May 31, 2019
- High-resolution assessment of multidimensional cellular mechanics using label-free refractive-index traction force microscopy
- Longitudinal investigation of prostate tumor spheroid proliferation with dynamic line-field optical coherence tomography
Stephanie Swanson, Keyu Chen, … Kostadinka K. Bizheva·Biomedical Optics ExpressPeer-reviewed·Dec 19, 2025