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Proceedings Paper

Resonance Raman of BCC and normal skin
Author(s): Cheng-hui Liu; Vidyasagar Sriramoju; Susie Boydston-White; Binlin Wu; Chunyuan Zhang; Zhe Pei; Laura Sordillo; Hugh Beckman; Robert R. Alfano
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Paper Abstract

The Resonance Raman (RR) spectra of basal cell carcinoma (BCC) and normal human skin tissues were analyzed using 532nm laser excitation. RR spectral differences in vibrational fingerprints revealed skin normal and cancerous states tissues. The standard diagnosis criterion for BCC tissues are created by native RR biomarkers and its changes at peak intensity. The diagnostic algorithms for the classification of BCC and normal were generated based on SVM classifier and PCA statistical method. These statistical methods were used to analyze the RR spectral data collected from skin tissues, yielding a diagnostic sensitivity of 98.7% and specificity of 79% compared with pathological reports.

Paper Details

Date Published: 17 February 2017
PDF: 5 pages
Proc. SPIE 10060, Optical Biopsy XV: Toward Real-Time Spectroscopic Imaging and Diagnosis, 100601B (17 February 2017); doi: 10.1117/12.2254628
Show Author Affiliations
Cheng-hui Liu, The City Univ. of New York (United States)
Vidyasagar Sriramoju, The City Univ. of New York (United States)
Susie Boydston-White, The City Univ. of New York (United States)
Binlin Wu, Southern Connecticut State Univ. (United States)
Chunyuan Zhang, The City Univ. of New York (United States)
Zhe Pei, The City Univ. of New York (United States)
Laura Sordillo, The City Univ. of New York (United States)
Hugh Beckman, Sinai Eye Education Corp. (United States)
Robert R. Alfano, The City Univ. of New York (United States)


Published in SPIE Proceedings Vol. 10060:
Optical Biopsy XV: Toward Real-Time Spectroscopic Imaging and Diagnosis
Robert R. Alfano; Stavros G. Demos, Editor(s)

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