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Raman micro-spectroscopy and multivariate analysis for the differentiation of skin cancers

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Date Issued:
2013
Summary:
Skin cancer is a growing health concern worldwide. In this work, confocal Raman micro-spectroscopy (CRM) was combined with two types of multivariate analysis, principal component analysis (PCA) and linear discriminant analysis (LDA), to accurately differentiate between skin cancer and normal skin. CRM was employed to study three distinct intracellular regions – cytoplasm, nucleoplasm, and nucleolus – within human metastatic melanoma (SK) and skin fibroblast (BJ) cells. PCA/LDA was 92-98% successful in discriminating BJ from SK cells, with higher RNA identified in the nucleoli of BJ cells and higher lipids and collagen identified in the cytoplasm of SK cells. CRM measurements were also done on SCC, BCC, and normal skin tissue samples to determine the feasibility of combining Raman spectroscopy with CO2 ablation. Differentiation with PCA was possible between normal and SCC tissue that had been ablated, with 78% correct identification when non-ablated and 92% when ablated.
Title: Raman micro-spectroscopy and multivariate analysis for the differentiation of skin cancers.
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Name(s): Fox, Sara A., author
Terentis, Andrew C., Thesis advisor
Charles E. Schmidt College of Science, Degree grantor
Department of Chemistry and Biochemistry
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Created: Summer 2013
Date Issued: 2013
Publisher: Florida Atlantic University
Physical Form: Online Resource
Extent: 120 p.
Language(s): English
Summary: Skin cancer is a growing health concern worldwide. In this work, confocal Raman micro-spectroscopy (CRM) was combined with two types of multivariate analysis, principal component analysis (PCA) and linear discriminant analysis (LDA), to accurately differentiate between skin cancer and normal skin. CRM was employed to study three distinct intracellular regions – cytoplasm, nucleoplasm, and nucleolus – within human metastatic melanoma (SK) and skin fibroblast (BJ) cells. PCA/LDA was 92-98% successful in discriminating BJ from SK cells, with higher RNA identified in the nucleoli of BJ cells and higher lipids and collagen identified in the cytoplasm of SK cells. CRM measurements were also done on SCC, BCC, and normal skin tissue samples to determine the feasibility of combining Raman spectroscopy with CO2 ablation. Differentiation with PCA was possible between normal and SCC tissue that had been ablated, with 78% correct identification when non-ablated and 92% when ablated.
Identifier: FA00004247 (IID)
Note(s): Includes bibliography.
Thesis (M.S.)--Florida Atlantic University, 2013.
Held by: Florida Atlantic University Digital Library
Sublocation: Boca Raton, Fla.
Persistent Link to This Record: http://purl.flvc.org/fau/fd/FA00004247
Restrictions on Access: All rights reserved by the source institution
Restrictions on Access: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU