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Optimization of excitation-emission band-pass filter for visualization of viable bacteria distribution on the surface of pork meat

A novel method of optically reducing the dimensionality of an excitation-emission matrix (EEM) by optimizing the excitation and emission band-pass filters was proposed and applied to the visualization of viable bacteria on pork. Filters were designed theoretically using an EEM data set for evaluatin...

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Bibliographic Details
Published in:Optics express 2013-05, Vol.21 (10), p.12579-12591
Main Authors: Nishino, Ken, Nakamura, Kazuaki, Tsuta, Mizuki, Yoshimura, Masatoshi, Sugiyama, Junichi, Nakauchi, Shigeki
Format: Article
Language:English
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Summary:A novel method of optically reducing the dimensionality of an excitation-emission matrix (EEM) by optimizing the excitation and emission band-pass filters was proposed and applied to the visualization of viable bacteria on pork. Filters were designed theoretically using an EEM data set for evaluating colony-forming units on pork samples assuming signal-to-noise ratios of 100, 316, or 1000. These filters were evaluated using newly measured EEM images. The filters designed for S/N = 100 performed the best and allowed the visualization of viable bacteria distributions. The proposed method is expected to be a breakthrough in the application of EEM imaging.
ISSN:1094-4087
1094-4087
DOI:10.1364/oe.21.012579