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Proceedings Paper

Application of multivariate optical computing to near-infrared imaging
Author(s): Michael L. Myrick; Olusola O. Soyemi; Fred Haibach; Lixia Zhang; Ashley Greer; Hongli Li; Ryan Priore; Maria V. Schiza; J. R. Farr
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Paper Abstract

Rapid quantitative imaging of chemical species is an important tool for investigating heterogenous mixtures, such as laminated plastics, biological samples and vapor plumes. Using traditional spectroscopic methods requires difficult computations on very large data sets. By embedding a spectral pattern that corresponds to a target analyte in an interference filter in a beamsplitter arrangement; the chemical information in an image can be obtained rapidly and with a minimal amount of computation. A candidate filter design that is tolerant to the angles present in an imaging arrangement is evaluated in near-infrared spectral region for an organic analyte and an interferent.

Paper Details

Date Published: 22 February 2002
PDF: 10 pages
Proc. SPIE 4577, Vibrational Spectroscopy-based Sensor Systems, (22 February 2002); doi: 10.1117/12.455732
Show Author Affiliations
Michael L. Myrick, Univ. of South Carolina (United States)
Olusola O. Soyemi, Univ. of South Carolina (United States)
Fred Haibach, Univ. of South Carolina (United States)
Lixia Zhang, Univ. of South Carolina (United States)
Ashley Greer, Univ. of South Carolina (United States)
Hongli Li, Univ. of South Carolina (United States)
Ryan Priore, Univ. of South Carolina (United States)
Maria V. Schiza, Univ. of South Carolina (United States)
J. R. Farr, Univ. of South Carolina (United States)

Published in SPIE Proceedings Vol. 4577:
Vibrational Spectroscopy-based Sensor Systems
Steven D. Christesen; Arthur J. Sedlacek, Editor(s)

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