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Applied Optics

Applied Optics


  • Vol. 39, Iss. 19 — Jul. 1, 2000
  • pp: 3357–3360

Fiber-optic evanescent-wave spectroscopy and neural networks: application to chemical blood analysis

Osnat Eytan, Ben-Ami Sela, and Abraham Katzir  »View Author Affiliations

Applied Optics, Vol. 39, Issue 19, pp. 3357-3360 (2000)

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An infrared spectral analysis of human blood serum has been carried out with Fourier transform infrared fiber-optic evanescent-wave spectroscopy. The measured spectra were analyzed by neural network analysis to predict concentrations of cholesterol, creatinine, total protein, urea, and uric acid. The predicted concentrations were compared with results from standard chemical analysis of blood and a good correlation was observed.

© 2000 Optical Society of America

OCIS Codes
(060.2390) Fiber optics and optical communications : Fiber optics, infrared
(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine
(200.4260) Optics in computing : Neural networks
(300.6300) Spectroscopy : Spectroscopy, Fourier transforms
(300.6340) Spectroscopy : Spectroscopy, infrared

Original Manuscript: September 15, 1999
Revised Manuscript: February 9, 2000
Published: July 1, 2000

Osnat Eytan, Ben-Ami Sela, and Abraham Katzir, "Fiber-optic evanescent-wave spectroscopy and neural networks: application to chemical blood analysis," Appl. Opt. 39, 3357-3360 (2000)

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