An Investigation on Micro-Raman Spectra and Wavelet Data Analysis for Pemphigus Vulgaris Follow-up Monitoring.
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...
Main Authors: | Maria Lepore, Giovanni Maria Gaeta, Nicola Cirillo, Vito Capozzi, Giuseppe Perna, Flora Zenone, Carlo Camerlingo |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2008-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/8/6/3656/ |
Similar Items
-
Micro-Raman Spectroscopy and Univariate Analysis for Monitoring Disease Follow-Up
by: Vito Capozzi, et al.
Published: (2011-08-01) -
Classifying Raman Spectra of Colon Cells Based on Machine Learning Algorithms
by: Maria Lasalvia, et al.
Published: (2024-03-01) -
Investigation on Clarified Fruit Juice Composition by Using Visible Light Micro-Raman Spectroscopy
by: Maria Lepore, et al.
Published: (2007-10-01) -
Micro-Raman Spectroscopy for Monitoring Changes in Periodontal Ligaments and Gingival Crevicular Fluid
by: Carlo Camerlingo, et al.
Published: (2014-11-01) -
Biochemical Changes in Human Cells Exposed to Low Concentrations of Gold Nanoparticles Detected by Raman Microspectroscopy
by: Maria Lasalvia, et al.
Published: (2019-05-01)