A biophysical Raman spectroscopic model for noninvasive screening of skin cancer
July 23-26, 2017
Raman spectroscopy (RS) is sensitive to the molecular composition of biological tissues. Raman optical fiber- based probes have demonstrated efficacy in noninvasive cancer screening of the skin, breast, stomach, cervical, lung and brain. Currently, statistical algorithms such as principle component analysis (PCA) are the standard approaches for describing the spectral variance of the RS data and providing tissue classification. However, a PCA-based analysis does not allow for an examination of the biophysical basis of disease, such as microstructural organization of proteins and lipids. Understanding those biophysical parameters is essential to interpret the diagnostic result similar to that a pathologist is familiar reading, and develop diagnostic algorithms for fast and accurate cancer screening.
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Xu Feng, Austin J. Moy, Matthew C. Fox, Jason S. Reichenberg, and James W. Tunnell, "A biophysical Raman spectroscopic model for noninvasive screening of skin cancer" in "Advances in Optics for Biotechnology, Medicine and Surgery XV", Peter So, Massachusetts Institute of Technology, USA Kate Bechtel, Triple Ring Technologies, USA Ivo Vellekoop, University of Twente, The Netherlands Michael Choma, Yale University, USA Eds, ECI Symposium Series, (2017). http://dc.engconfintl.org/biotech_med_xv/22