We report on the development of multi-needle fiberoptic Raman spectroscopy (MNF-RS) technique for simultaneous multi-site deep tissue Raman measurements of brain. High quality tissue Raman spectra within the range of fingerprint (FP, 800 – 1800 cm-1) and high-wavenumber (HW, 2800 – 3300 cm-1) are collected within sub-second integration time using the MNF-RS technique from different tissue types (e.g., muscle, fat, gray matter and white matter from porcine brain). We advance the MNF-RS probes into deep porcine brain for validating its simultaneous Raman spectra acquisition capability from different brain regions (e.g., cortex, thalamus, midbrain and cerebellum). The distinct biochemical differences are identified among different brain locations, indicating the promising potential of MNF-RS technique for label-free neuroscience study at the molecular level.
We report on the development of a simultaneous fingerprint and high-wavenumber (FP/HW) Raman endoscopy platform for real-time, in vivo diagnosis of bladder cancer during transurethral resection of bladder tumor (TURBT). Significant tissue Raman spectral differences are observed in both FP (i.e., 800 – 1800 cm-1) and HW (i.e., 2800 – 3600 cm-1) regions between normal and cancer as well as between normal and carcinoma in situ (CIS) tissue sites, indicating the biomolecular differences among cancer, CIS and normal tissue sites. A cancer diagnosis model has been developed based on partial-least-squares linear-discriminant-analysis (PLS-LDA) with leave-one-tissue site-out cross-validation (LOOCV). The diagnosis model yields the diagnostic accuracy of > 90 % for identifying both cancer and CIS sites from normal bladder tissue. Through this work, we demonstrate that in vivo FP/HW fiberoptic Raman endoscopy is a promising and effective clinical tool for rapid diagnosis of cancer and pre-cancer tissue sites during TURBT from biomolecular level.
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