Application of multivariate optical computing to near-infrared imaging

Michael L. Myrick; Olusola O. Soyemi; Fred Haibach; Lixia Zhang; Ashley Greer; Hongli Li; Ryan Priore; Maria V. Schiza; J. R. Farr

doi:10.1117/12.455732

22 February 2002 Application of multivariate optical computing to near-infrared imaging

Michael L. Myrick, Olusola O. Soyemi, Fred Haibach, Lixia Zhang, Ashley Greer, Hongli Li, Ryan Priore, Maria V. Schiza, J. R. Farr

Author Affiliations +

Proceedings Volume 4577, Vibrational Spectroscopy-based Sensor Systems; (2002) https://doi.org/10.1117/12.455732
Event: Environmental and Industrial Sensing, 2001, Boston, MA, United States

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.

Citation Download Citation

Michael L. Myrick, Olusola O. Soyemi, Fred Haibach, Lixia Zhang, Ashley Greer, Hongli Li, Ryan Priore, Maria V. Schiza, and J. R. Farr "Application of multivariate optical computing to near-infrared imaging", Proc. SPIE 4577, Vibrational Spectroscopy-based Sensor Systems, (22 February 2002); https://doi.org/10.1117/12.455732

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