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We have integrated tissue quantitative phase imaging with Raman spectroscopy, and used it for analyzing benign and malignant cancer tissue samples without staining. We used the acquired stain-free OPD-based texture features of the tissues and deep learning to segment the urothelium layers, where cancer starts from, with the stained tissue as a ground-truth for training. Then, location-guided Raman spectroscopy measurements were acquired from the urothelium according to the segmentation results. We then classified the tissue type based on the location-guided Raman spectroscopy measurement with higher accuracy compared to classifying them without urothelium segmentation.
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