Author Type

Graduate Student

Date of Award

2013

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Terentis, Andrew C.

Abstract

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.

Extent

120 p.

Comments

Includes bibliography.|Thesis (M.S.)--Florida Atlantic University, 2013.|Includes bibliography.

Identifier

FA00004247

Format

pdf

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