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Journal of Biomedical Optics

Effect of photobleaching on calibration model development in biological Raman spectroscopy
Author(s): Ishan Barman; Chae-Ryon Kong; Gajendra P. Singh; Ramachandra R. Dasari
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Paper Abstract

A major challenge in performing quantitative biological studies using Raman spectroscopy lies in overcoming the influence of the dominant sample fluorescence background. Moreover, the prediction accuracy of a calibration model can be severely compromised by the quenching of the endogenous fluorophores due to the introduction of spurious correlations between analyte concentrations and fluorescence levels. Apparently, functional models can be obtained from such correlated samples, which cannot be used successfully for prospective prediction. This work investigates the deleterious effects of photobleaching on prediction accuracy of implicit calibration algorithms, particularly for transcutaneous glucose detection using Raman spectroscopy. Using numerical simulations and experiments on physical tissue models, we show that the prospective prediction error can be substantially larger when the calibration model is developed on a photobleaching correlated dataset compared to an uncorrelated one. Furthermore, we demonstrate that the application of shifted subtracted Raman spectroscopy (SSRS) reduces the prediction errors obtained with photobleaching correlated calibration datasets compared to those obtained with uncorrelated ones.

Paper Details

Date Published: 1 January 2011
PDF: 10 pages
J. Biomed. Opt. 16(1) 011004 doi: 10.1117/1.3520131
Published in: Journal of Biomedical Optics Volume 16, Issue 1
Show Author Affiliations
Ishan Barman, Massachusetts Institute of Technology (United States)
Chae-Ryon Kong, Massachusetts Institute of Technology (United States)
Gajendra P. Singh, Univ. of St. Andrews (United Kingdom)
Ramachandra R. Dasari, Massachusetts Institute of Technology (United States)

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