A Path for Non-invasive Glucose Detection using Mid-IR Supercontinuum

P. Domachuk; M. Hunter; R. Batorsky; M. Cronin-Golomb; F. G. Omenetto; F. G. Omenetto; A. Wang; A. K. George; J.C. Knight

Conference on Lasers and Electro-Optics/Quantum Electronics and Laser Science Conference and Photonic Applications Systems Technologies
OSA Technical Digest (CD) (Optica Publishing Group, 2008),
paper CThII6

A Path for Non-invasive Glucose Detection using Mid-IR Supercontinuum

P. Domachuk, M. Hunter, R. Batorsky, M. Cronin-Golomb, F. G. Omenetto, A. Wang, A. K. George, and J.C. Knight

Conference on Lasers and Electro-Optics 2008

San Jose, California United States
4–9 May 2008
ISBN: 978-1-55752-859-9

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Novel Spectroscopy and Microscopy Methods (CThII)

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P. Domachuk, M. Hunter, R. Batorsky, M. Cronin-Golomb, F. G. Omenetto, A. Wang, A. K. George, and J. C. Knight, "A Path for Non-invasive Glucose Detection using Mid-IR Supercontinuum," in Conference on Lasers and Electro-Optics/Quantum Electronics and Laser Science Conference and Photonic Applications Systems Technologies, OSA Technical Digest (CD) (Optica Publishing Group, 2008), paper CThII6.

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Abstract

We propose the use of large bandwidth mid-IR supercontinuum coupled with machine learning algorithms could provide a solution to non-invasive glucose detection. The SC uses millimeters of non-linear optical fiber, lowering costs and enhancing compactness.

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