Paper
27 February 2008 Wavelet data analysis of micro-Raman spectra for follow-up monitoring in oral pathologies
C. Camerlingo, F. Zenone, G. Perna, V. Capozzi, N. Cirillo D.D.S., G. M. Gaeta D.D.S., M. Lepore
Author Affiliations +
Proceedings Volume 6843, Lasers in Dentistry XIV; 68430K (2008) https://doi.org/10.1117/12.769357
Event: SPIE BiOS, 2008, San Jose, California, United States
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. Camerlingo, F. Zenone, G. Perna, V. Capozzi, N. Cirillo D.D.S., G. M. Gaeta D.D.S., and M. Lepore "Wavelet data analysis of micro-Raman spectra for follow-up monitoring in oral pathologies", Proc. SPIE 6843, Lasers in Dentistry XIV, 68430K (27 February 2008); https://doi.org/10.1117/12.769357
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KEYWORDS
Raman spectroscopy

Tissues

Photovoltaics

Wavelets

Biopsy

Blood

Micro raman spectroscopy

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