Journal
SPECTROSCOPY-AN INTERNATIONAL JOURNAL
Volume 27, Issue 5-6, Pages 441-447Publisher
HINDAWI PUBLISHING CORPORATION
DOI: 10.1155/2012/530791
Keywords
Raman spectroscopy; background estimation; computational geometry
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Raman spectroscopy grows into an essential tool for biomedical applications. Nevertheless, the weak Raman signal associated mainly with biological samples is often obscured by a broad background signal due to the intrinsic fluorescence of the organic molecules present, making further analysis unfeasible. A computational geometry method based on the definition of convex hull is described to estimate the background from Raman spectra of samples with biological interest. The method is semiautomated requiring sample-dependent user intervention. It does not depend, however, on curve fitting, requires no information about background distribution or source, and keeps the original spectral data intact.
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