Light-sheet photonic force optical coherence elastography for high-throughput quantitative 3D micromechanical
Yuechuan Lin1,2, Nichaluk Leartprapun1,3, Justin C Luo1
1Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, 14853, USA.
Nature Communications
|June 17, 2022
Summary
This study introduces light-sheet photonic force optical coherence elastography (LS-pfOCE), a new method for imaging the mechanical properties of the extracellular matrix (ECM) and cell-ECM interactions in 3D. It enables dynamic, high-resolution studies crucial for mechanobiology.
Area of Science:
- Mechanobiology
- Biophysics
- Biomedical Engineering
Background:
- Quantitative characterization of extracellular matrix (ECM) mechanics and cell-ECM interactions is vital for mechanobiology.
- Existing methods struggle with high-resolution 3D imaging of ECM mechanics and dynamic monitoring of cell-mediated viscoelastic changes.
Purpose of the Study:
- To develop a novel technique for quantitative 3D imaging of ECM micromechanical properties and cell-ECM dynamics.
- To overcome limitations in current mechanical characterization methods for cellular-scale resolution and dynamic monitoring.
Main Methods:
- Introduction of light-sheet photonic force optical coherence elastography (LS-pfOCE).
- Utilizes a light-sheet for parallelized, non-invasive, and localized mechanical loading.
- Enables 4D (spatiotemporal) imaging of micromechanical properties.
Main Results:
- Demonstrated LS-pfOCE for imaging micromechanical heterogeneity in fibrous collagen matrices.
- Successfully performed live-cell imaging of cell-mediated ECM micromechanical dynamics.
- Provides access to 4D spatiotemporal variations in micromechanical properties of 3D biopolymer constructs and engineered cellular systems.
Conclusions:
- LS-pfOCE offers a powerful tool for advancing fundamental discoveries in mechanobiology.
- This technique has the potential to aid in developing novel biomechanics-based clinical diagnostics and therapies.
- Enables unprecedented insights into dynamic cell-ECM interactions at the microscale.
