KEYWORDS: Tissues, Optical coherence tomography, Signal detection, Second harmonic generation, Fluorescence, Third harmonic generation, Multiphoton microscopy, 3D image processing, In vivo imaging
We hypothesize that strain of the synovial membrane of joints and surrounding tissues due to altered force ratios can be optically detected at cellular level in vivo to infer acting forces. This is crucial because immune cells adapt their function to disbalanced mechanical load. Time series of metacarpophalangeal joints in mouse paws are imaged using multimodal multiphoton microscopy. A three-dimensional method based on the Gaussian-Laplacian pyramid and an optical flow algorithm is used to determine morphological shift between consecutive time points, effectively overcoming image processing challenges. From this, the force field in bulk tissue is approximated based on Hooke's law.
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