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Proceedings Paper

Wavelet data analysis of micro-Raman spectra for follow-up monitoring in oral pathologies
Author(s): C. Camerlingo; F. Zenone; G. Perna; V. Capozzi; N. Cirillo; G. M. Gaeta; M. Lepore
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Paper Abstract

A wavelet multi-component decomposition algorithm has been used for data analysis of micro-Raman spectra from human biological samples. In particular, measurements have been performed on some samples of oral tissue and blood serum from patients affected by pemphigus vulgaris at different stages. Pemphigus is a chronic, autoimmune, blistering disease of the skin and mucous membranes with a potentially fatal outcome. The disease is characterized histologically by intradermal blisters and immunopathologically by the finding of tissue bound and circulating immunoglobulin G (IgG) antibody directed against the cell surface of keratinocytes. More than 150 spectra were measured by means of a Raman confocal microspectrometer apparatus using the 632.8 nm line of a He-Ne laser source. A discrete wavelet transform decomposition method has been applied to the recorded Raman spectra in order to overcome related to low-level signals and the presence of noise and background components due to light scattering and fluorescence. The results indicate that appropriate data processing can contribute to enlarge the medical applications of micro-Raman spectroscopy.

Paper Details

Date Published: 27 February 2008
PDF: 10 pages
Proc. SPIE 6843, Lasers in Dentistry XIV, 68430K (27 February 2008); doi: 10.1117/12.769357
Show Author Affiliations
C. Camerlingo, Istituto di Cibernetica E. Caianiello (Italy)
F. Zenone, Univ. Federico II (Italy)
G. Perna, Univ. di Foggia (Italy)
V. Capozzi, Univ. di Foggia (Italy)
N. Cirillo, Seconda Univ. di Napoli (Italy)
G. M. Gaeta, Seconda Univ. di Napoli (Italy)
M. Lepore, Seconda Univ. di Napoli (Italy)


Published in SPIE Proceedings Vol. 6843:
Lasers in Dentistry XIV
Peter Rechmann; Daniel Fried, Editor(s)

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