Intrinsic Raman spectroscopy for quantitative biological spectroscopy part II: experimental applications.

Optics Express
Kate L BechtelM S Feld

Abstract

We demonstrate the effectiveness of intrinsic Raman spectroscopy (IRS) at reducing errors caused by absorption and scattering. Physical tissue models, solutions of varying absorption and scattering coefficients with known concentrations of Raman scatterers, are studied. We show significant improvement in prediction error by implementing IRS to predict concentrations of Raman scatterers using both ordinary least squares regression (OLS) and partial least squares regression (PLS). In particular, we show that IRS provides a robust calibration model that does not increase in error when applied to samples with optical properties outside the range of calibration.

References

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Citations

Mar 26, 2014·Methods : a Companion to Methods in Enzymology·Alasdair RaeDebdulal Roy
Jul 10, 2010·Journal of Biomedical Optics·Carina RebleJürgen Helfmann
Sep 8, 2011·Journal of Biomedical Optics·Narahara Chari DingariMichael S Feld
May 6, 2009·Analytical Chemistry·Ishan BarmanMichael S Feld
Feb 11, 2010·Journal of Diabetes Science and Technology·Jan LipsonUNKNOWN C8 MediSensors,
Oct 31, 2014·Applied Spectroscopy·Joseph V Sinfield, Chike Monwuba
Feb 6, 2010·Applied Spectroscopy·Neil EverallIan P Clark
Feb 18, 2015·Journal of Biomedical Optics·Wei-Chuan ShihMihailo V Rebec
Sep 5, 2020·Biomedical Engineering and Computational Biology·Martha Z Vardaki, Nikolaos Kourkoumelis
Jun 29, 2017·Bioprocess and Biosystems Engineering·Robert SchalkThomas Beuermann

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