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Proceedings Paper

Model for a novel holographic spectral pattern detector
Author(s): Ben Bakker; Val K. Bykovski
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Paper Abstract

The existing technology for detecting chemical species is based on spectral decomposition of light from a multispecies sample. This approach is limited because of line overlapping from different species and is getting increasingly unreliable when the number of species is large. We propose a holographic species analyzer, which decomposes an input in terms of a prespecified set of species. The innovation is to replace a diffraction grating with a holographic memory element designed to recognize the whole light patterns of different species and generate in an output plane a position sensitive map of species present. The holographic element can be optically or computer generated. The proposed technology is shown using computer models to be both highly wavelength and position sensitive.

Paper Details

Date Published: 9 October 1995
PDF: 6 pages
Proc. SPIE 2570, Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications, (9 October 1995); doi: 10.1117/12.224166
Show Author Affiliations
Ben Bakker, Univ. of Massachusetts/Lowell (United States)
Val K. Bykovski, Univ. of Massachusetts/Lowell (United States)


Published in SPIE Proceedings Vol. 2570:
Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications
Randall Locke Barbour; Mark J. Carvlin; Michael A. Fiddy, Editor(s)

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