A hybrid least squares and principal component analysis algorithm for Raman spectroscopy.

Dominique Van de Sompel1, Ellis Garai, Cristina Zavaleta

  • 1Molecular Imaging Program at Stanford (MIPS), Stanford University School of Medicine, Stanford University, Stanford, California, USA.

Plos One
|June 23, 2012
PubMed
Summary

A new Raman spectroscopy algorithm enhances accuracy by modeling variations in background and analyte signals. This method improves upon classical least squares, offering greater robustness for chemical mixture analysis.

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