Real‐time in vivo cancer diagnosis using raman spectroscopy. Issue 7 (12th September 2014)

• Record Type: Journal Article
• Authors: Wang, Wenbo; Zhao, Jianhua; Short, Michael; Zeng, Haishan
• Is Part Of: Journal of biophotonics. Volume 8:Issue 7(2015)
• Page Start: 527
• Page End: 545
• Publication Date: 2014-09-12
• Subjects: Raman spectroscopy -- cancer detection -- clinical instrumentation -- optic fiber probe -- spectrometer -- chemometrics; Photonics -- Periodicals; Optical materials -- Periodicals; Optics -- Periodicals; Medical instruments and apparatus -- Periodicals; 621.3605
• DOI: 10.1002/jbio.201400026
• Languages: English
• ISSNs: 1864-063X

Abstract

Abstract : Raman spectroscopy has becoming a practical tool for rapid in vivo tissue diagnosis. This paper provides an overview on the latest development of real‐time in vivo Raman systems for cancer detection. Instrumentation, data handling, as well as oncology applications of Raman techniques were covered. Optic fiber probes designs for Raman spectroscopy were discussed. Spectral data pre‐processing, feature extraction, and classification between normal/benign and malignant tissues were surveyed. Applications of Raman techniques for clinical diagnosis for different types of cancers, including skin cancer, lung cancer, stomach cancer, oesophageal cancer, colorectal cancer, cervical cancer, and breast cancer, were summarized.Schematic of a real‐time Raman spectrometer for skin cancer detection. Without correction, the image captured on CCD camera for a straight entrance slit has a curvature. By arranging the optic fiber array in reverse orientation, the curvature could be effectively corrected. Abstract : An overview on the latest development of real‐time in vivo Raman systems for cancer detection is provided. Instrumentation, data handling, as well as oncology applications of Raman techniques are covered. Optic fiber probes designs for Raman spectroscopy are discussed and spectral data pre‐processing, feature extraction, and classification between normal/benign and malignant tissues are surveyed. Applications of Raman techniques for clinical diagnosis for different types of cancers are summarized.