In surgery, peripheral nerves should be preserved as much as possible to suppress the dysfunction and improve the quality of life after surgery. However, it is difficult to distinguish colorless, transparent, and thin nerves from other tissues. We had developed a coherent anti-Stokes Raman scattering (CARS) rigid endoscope to visualize nerves in a label-free manner. CARS allows for imaging without staining based on the information of molecular vibrations. In the conference, we show near real-time nerve visualization using CARS endoscopy and deep learning. We demonstrate that the image taken at 1.6 s/image satisfies the segmentation quality required for medical images.
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