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Applied Optics

Applied Optics


  • Editor: James C. Wyant
  • Vol. 46, Iss. 7 — Mar. 1, 2007
  • pp: 1066–1080

Precision in imaging multivariate optical computing

Michael N. Simcock and Michael L. Myrick  »View Author Affiliations

Applied Optics, Vol. 46, Issue 7, pp. 1066-1080 (2007)

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Multivariate optical computing (MOC) is a method of performing chemical analysis using a multilayer thin-film structure known as a multivariate optical element (MOE). Recently we have been advancing MOC for imaging problems by using an imaging MOE (IMOE) in a normal-incidence geometry and employing normalization by the 1-norm. There are several important differences between the previously described 45° and the normal-incidence imaging, one of which is the measurement precision due to photon counting. We compare this precision to 45° MOC. We also discuss how MOE models with similar values of standard errors of calibration and prediction and similar gain values may vary in precision because of the sign or offset of the regression vector encoded in the IMOE spectrum. Experimental verification of a key result is provided by near-infrared imaging of slides coated with a dye-doped polymer film.

© 2007 Optical Society of America

OCIS Codes
(000.1570) General : Chemistry
(120.4570) Instrumentation, measurement, and metrology : Optical design of instruments
(120.4610) Instrumentation, measurement, and metrology : Optical fabrication
(120.5630) Instrumentation, measurement, and metrology : Radiometry
(120.6200) Instrumentation, measurement, and metrology : Spectrometers and spectroscopic instrumentation
(200.4560) Optics in computing : Optical data processing

Original Manuscript: April 25, 2006
Revised Manuscript: September 5, 2006
Manuscript Accepted: October 27, 2006
Published: February 12, 2007

Michael N. Simcock and Michael L. Myrick, "Precision in imaging multivariate optical computing," Appl. Opt. 46, 1066-1080 (2007)

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