This technique uses multimodal nonlinear optical microscopy with the image contrast of second harmonic generation (SHG) and coherent anti-Stokes Raman scattering (CARS). By analyzing the nonlinear signals on images, it can be used to characterize and quantify the structural variation in the collagen scaffolds processed with different crosslinking methods. The correlation between signals and mechanical properties can then be derived. Additionally, comparative analysis of these two signals can be used to monitor the structural (triple-helix) change of collagen molecules during the crosslinking processes.
This technique is able to quantitatively analyze the structure of synthetic materials of collagen, which can be applied to the quality control system in the medical material industry. Automated inspections in the semiconductor industry can also be achieved by the nonlinear signals produced from laser-device defect interactions. In the medical industry, early diagnosis of diseases and nonlinear endomicroscopy are the existing applications of this technique. In the future, we will use new algorithms to establish training models for bioengineered materials or diseases, promoting AI in medicine and personalized precision health.

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