Eigenspectra, a robust regression method for multiplexed Raman spectra analysis
by Shuo Li; James O. Nyagilo; Digant P. Dave; Baoju Zhang; Jean Gao
International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 7, No. 4, 2013

Abstract: With the latest development of Surface Enhanced Raman Scattering (SERS) nanoparticles, Raman spectroscopy now can be extended to bioimaging and biosensing. In this study, we demonstrate the ability of Raman spectroscopy to separate multiple spectral fingerprints using Raman nanotags. A machine learning method is proposed to estimate the mixing ratios of sources from mixture signals. It decomposes the mixture signals into components for both best representation and most relating to mixing ratios. Then regression coefficients are calculated for the prediction. The robustness of the method was compared with least squares and weighted least squares methods.

Online publication date: Mon, 20-Oct-2014

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