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An Investigation on Micro-Raman Spectra and Wavelet Data Analysis for Pemphigus Vulgaris Follow-up Monitoring.

Consiglio Nazionale delle Ricerche, Istituto di Cibernetica “E. Caianiello”, Pozzuoli, Italy
Dipartimento di Scienze Fisiche, Università “Federico II”, Naples, Italy
Dipartimento di Scienze Biomediche, Università di Foggia, Italy
Dipartimento di Malattie Odontostomatologiche, Seconda Università di Napoli, Naples, Italy
Dipartimento di Medicina Sperimentale, Seconda Università di Napoli, Naples, Italy
Author to whom correspondence should be addressed.
Sensors 2008, 8(6), 3656-3664;
Received: 24 January 2008 / Revised: 30 April 2008 / Accepted: 28 May 2008 / Published: 1 June 2008
(This article belongs to the Special Issue Bioanalysis in Vivo/in Vitro)
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A wavelet multi-component decomposition algorithm has been used for data analysis of micro-Raman spectra of blood serum samples 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. 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 problems related to low-level signals and the presence of noise and background components due to light scattering and fluorescence. This numerical data treatment can automatically extract quantitative information from the Raman spectra and makes more reliable the data comparison. Even if an exhaustive investigation has not been done in this work, the feasibility of the follow-up monitoring of pemphigus vulgaris pathology has been clearly proved with useful implications for the clinical applications. View Full-Text
Keywords: blood serum; micro-Raman spectroscopy; wavelet analysis blood serum; micro-Raman spectroscopy; wavelet analysis
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Camerlingo, C.; Zenone, F.; Perna, G.; Capozzi, V.; Cirillo, N.; Gaeta, G.M.; Lepore, M. An Investigation on Micro-Raman Spectra and Wavelet Data Analysis for Pemphigus Vulgaris Follow-up Monitoring.. Sensors 2008, 8, 3656-3664.

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