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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 novel 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 semi-automated requiring sample-dependent user intervention. It does not rely however on curve fitting, requires no information about background distribution or source and keeps the original spectral data intact.
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