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RAMAN SPECTROSCOPY FOR IN VIVO TISSUE ANALYSIS AND DIAGNOSIS,FROM INSTRUMENT DEVELOPMENT TO CLINICAL APPLICATIONS

Journal of Innovative Optical Health Sciences 2008年第1期1卷 95-106页

作者： HAISHAN ZENG JIANHUA ZHAO MICHAEL SHORT DAVID I.MCLEAN STEPHEN LAM annette mcwilliams HARVEY LUI Laboratory for Advanced Medical Photonics(LAMP)Cancer Imaging Department British Columbia Cancer Research Centre 675 West 10th Avenue Vancouver BCV5Z 1L3Canada Photomedicine Institute Department of Dermatology and Skin Science University of British Columbia and Vancouver Coastal Health Research Institute 835 West 10th Avenue VancouverBCV5Z 4E8Canada

Raman spectroscopy is a noninvasive,nondestructive analytical method capable of determining the biochemical constituents based on molecular *** does not require sample preparation or ***,the use of Raman spectroscopy for in vivo clinical applications will depend on the feasibility of measuring Raman spectra in a relatively short time period(a few seconds).In this work,a fast dispersive-type nearinfrared(NIR)Raman spectroscopy system and a skin Raman probe were developed to facilitate real-time,noninvasive,in vivo human skin *** image aberration was corrected by a parabolic-line fiber array,permitting complete CCD vertical binning,thereby yielding a 16-fold improvement in signal-to-noise *** quality in vivo skin NIR Raman spectra free of interference from fiber fluorescence and silica Raman scattering can be acquired within one second,which greatly facilitates practical noninvasive tissue characterization and clinical ***,we are conducting a large clinical study of various skin diseases in order to develop Raman spectroscopy into a useful tool for non-invasive skin cancer *** data analysis results are ***,we have also successfully developed a technically more challenging endoscopic Laser-Raman probe for early lung cancer *** in vivo results from endoscopic lung Raman measurements are discussed.

关键词： Rapid Raman system in vivo skin Raman in vivo lung Raman endoscopic Raman probe early cancer detection

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