Model for a novel holographic spectral pattern detector

Ben Bakker; Val K. Bykovski

doi:10.1117/12.224166

9 October 1995 Model for a novel holographic spectral pattern detector

Ben Bakker, Val K. Bykovski

Proceedings Volume 2570, Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications; (1995) https://doi.org/10.1117/12.224166
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Ben Bakker and Val K. Bykovski "Model for a novel holographic spectral pattern detector", Proc. SPIE 2570, Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications, (9 October 1995); https://doi.org/10.1117/12.224166

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