Light-sheet photonic force optical coherence elastography for high-throughput quantitative 3D micromechanical imaging

Yuechuan Lin, Nichaluk Leartprapun, Justin C. Luo and Steven G. Adie ()
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Yuechuan Lin: Cornell University
Nichaluk Leartprapun: Cornell University
Justin C. Luo: Cornell University
Steven G. Adie: Cornell University

Nature Communications, 2022, vol. 13, issue 1, 1-11

Abstract: Abstract Quantitative characterisation of micro-scale mechanical properties of the extracellular matrix (ECM) and dynamic cell-ECM interactions can significantly enhance fundamental discoveries and their translational potential in the rapidly growing field of mechanobiology. However, quantitative 3D imaging of ECM mechanics with cellular-scale resolution and dynamic monitoring of cell-mediated changes to pericellular viscoelasticity remain a challenge for existing mechanical characterisation methods. Here, we present light-sheet photonic force optical coherence elastography (LS-pfOCE) to address this need by leveraging a light-sheet for parallelised, non-invasive, and localised mechanical loading. We demonstrate the capabilities of LS-pfOCE by imaging the micromechanical heterogeneity of fibrous collagen matrices and perform live-cell imaging of cell-mediated ECM micromechanical dynamics. By providing access to 4D spatiotemporal variations in the micromechanical properties of 3D biopolymer constructs and engineered cellular systems, LS-pfOCE has the potential to drive new discoveries in mechanobiology and contribute to the development of novel biomechanics-based clinical diagnostics and therapies.

Date: 2022
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DOI: 10.1038/s41467-022-30995-0

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