System and method for combined Raman and LIBS detection with targeting
First Claim
1. A system comprising:
- a first illumination source configured to illuminate a region of interest to thereby generate a first plurality of interacted photons;
a first detector configured so as to detect said first plurality of interacted photons and generate a test data set representative of said region of interest;
a means for analyzing said test data set and identifying a unknown sample within said region of interest;
a second illumination source configured so as to illuminate a first portion of said unknown sample to thereby generate a second plurality of interacted photons;
a second detector configured so as to detect said second plurality of interacted photons and generate a LIBS data set representative of said unknown sample;
a third illumination source configured so as to illuminate a second portion of said unknown sample to thereby generate a third plurality of interacted photons;
a third detector configured so as to detect said third plurality of interacted photons and generate Raman data set representative of said sample; and
a means for fusing said LIBS data set and said Raman data set to generate a fused data set and analyzing the fused data set to thereby identify said unknown sample.
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Abstract
A system and method for locating and identifying unknown samples. A targeting mode may be utilized to scan regions of interest for potential unknown materials. This targeting mode may interrogate regions of interest using SWIR and/or fluorescence spectroscopic and imaging techniques. Unknown samples detected in regions of interest may be further interrogated using a combination of Raman and LIBS techniques to identify the unknown samples. Structured illumination may be used to interrogate an unknown sample. Data sets generated during interrogation may be compared to a reference database comprising a plurality of reference data sets, each associated with a known material. The system and method may be used to identify a variety of materials including: biological, chemical, explosive, hazardous, concealment, and non-hazardous materials.
28 Citations
17 Claims
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1. A system comprising:
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a first illumination source configured to illuminate a region of interest to thereby generate a first plurality of interacted photons; a first detector configured so as to detect said first plurality of interacted photons and generate a test data set representative of said region of interest; a means for analyzing said test data set and identifying a unknown sample within said region of interest; a second illumination source configured so as to illuminate a first portion of said unknown sample to thereby generate a second plurality of interacted photons; a second detector configured so as to detect said second plurality of interacted photons and generate a LIBS data set representative of said unknown sample; a third illumination source configured so as to illuminate a second portion of said unknown sample to thereby generate a third plurality of interacted photons; a third detector configured so as to detect said third plurality of interacted photons and generate Raman data set representative of said sample; and a means for fusing said LIBS data set and said Raman data set to generate a fused data set and analyzing the fused data set to thereby identify said unknown sample. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A storage medium containing machine readable program code, which, when executed by a processor, causes said processor to perform the following:
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illuminate a region of interest to thereby generate a first plurality of interacted photons; filter said first plurality of interacted photons; detect said first plurality of interacted photons to thereby generate a test data set representative of said region of interest; analyze said test data set to thereby identify a unknown sample within said region of interest; illuminate a first portion of said unknown sample to thereby generate a second plurality of interacted photons; illuminate a second portion of said unknown sample to thereby generate a third plurality of interacted photons; filter at least one of said second plurality of interacted photons and said third plurality of interacted photons; detect said second plurality of interacted photons to thereby generate a LIBS data set representative of said unknown sample; detect said third plurality of interacted photons to thereby generate a Raman data set representative of said unknown sample; fuse said LIBS data set and said Raman data set to generate a fused data set; and analyze the fused data set to thereby identify said unknown sample. - View Dependent Claims (17)
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Specification