A method comprising:nilluminating a region of interest to thereby generate a first plurality of interacted photons;filtering said first plurality of interacted photons;detecting said first plurality of interacted photons to thereby generate a test data set representative of said region of interest;analyzing said test data set to thereby identify a unknown sample within said region of interest;illuminating a first portion of said unknown sample to thereby generate a second plurality of interacted photons;illuminating a second portion of said unknown sample to thereby generate a third plurality of interacted photons;filtering at least one of said second plurality of interacted photons and said third plurality of interacted photons;detecting said second plurality of interacted photons to thereby generate a LIBS data set representative of said unknown sample;detecting said third plurality of interacted photons to thereby generate a Raman data set representative of said unknown sample; andanalyzing at least one of said LIBS data set and said Raman data set to thereby identify said unknown sample.
›2.↳ 1The method of claim 1 wherein said test data set comprises a SWIR data set.d2+2
The method of claim 1 wherein said test data set comprises a SWIR data set.
›3.↳ 2The method of claim 2 wherein said SWIR data set comprises at least one hyperspectral SWIR image.d3
The method of claim 2 wherein said SWIR data set comprises at least one hyperspectral SWIR image.
›4.↳ 2The method of claim 2 wherein said SWIR data set comprises at least one of: a spatially accurate wavelength resolved SWIR image, a SWIR spectrum, and …d3
The method of claim 2 wherein said SWIR data set comprises at least one of: a spatially accurate wavelength resolved SWIR image, a SWIR spectrum, and combinations thereof.
›5.↳ 1The method of claim 1 wherein said test data set comprises a fluorescence data set.d2+2
The method of claim 1 wherein said test data set comprises a fluorescence data set.
›6.↳ 5The method of claim 5 wherein said fluorescence data set comprises at least one hyperspectral fluorescence image.d3
The method of claim 5 wherein said fluorescence data set comprises at least one hyperspectral fluorescence image.
›7.↳ 5The method of claim 5 wherein said fluorescence data set comprises at least one of: a spatially accurate wavelength resolved fluorescence image, a flu…d3
The method of claim 5 wherein said fluorescence data set comprises at least one of: a spatially accurate wavelength resolved fluorescence image, a fluorescence spectrum, and combinations thereof.
›8.↳ 1The method of claim 1 wherein said first portion of said unknown sample is illuminated using a first illumination pattern.d2+1
The method of claim 1 wherein said first portion of said unknown sample is illuminated using a first illumination pattern.
›9.↳ 8The method of claim 8 wherein said first illumination pattern is selected from the group consisting of: a circle, a square, a rectangle, an ellipse, a…d3
The method of claim 8 wherein said first illumination pattern is selected from the group consisting of: a circle, a square, a rectangle, an ellipse, an annulus, and combinations thereof.
›10.↳ 1The method of claim 1 wherein said second portion of said unknown sample is illuminated using a second illumination pattern.d2+1
The method of claim 1 wherein said second portion of said unknown sample is illuminated using a second illumination pattern.
›11.↳ 10The method of claim 10 wherein said second illumination pattern comprises at least one of: a circle, a square, a rectangle, and ellipse, an annulus, a…d3
The method of claim 10 wherein said second illumination pattern comprises at least one of: a circle, a square, a rectangle, and ellipse, an annulus, and combinations thereof.
›12.↳ 1The method of claim 1 wherein said filtering of at least one of said first plurality of interacted photons, said second plurality of interacted photon…d2+1
The method of claim 1 wherein said filtering of at least one of said first plurality of interacted photons, said second plurality of interacted photons, and said third plurality of interacted photons is achieved using at least one of: a tunable filter, a fixed filter, a dielectric filter, and combinations thereof.
›13.↳ 12The method of claim 12 wherein said filtering is achieved using a tunable filter selected from the group consisting of: a liquid crystal tunable filte…d3
The method of claim 12 wherein said filtering is achieved using a tunable filter selected from the group consisting of: a liquid crystal tunable filter, a multi-conjugate tunable filter, an acousto-optical tunable filter, a Lyot liquid crystal tunable filter, an Evans split-element liquid crystal tunable filter, a Solc liquid crystal tunable filter, a ferroelectric liquid crystal tunable filter, a Fabry Perot liquid crystal tunable filter, and combinations thereof.
›14.↳ 1The method of claim 1 wherein said analyzing of said LIBS data set and said Raman data set further comprises applying at least one fusion algorithm to…d2+1
The method of claim 1 wherein said analyzing of said LIBS data set and said Raman data set further comprises applying at least one fusion algorithm to thereby generate a fused data set representative of said unknown sample.
›15.↳ 14The method of claim 14 further comprising analyzing said fused data set to thereby identify said unknown sample.d3
The method of claim 14 further comprising analyzing said fused data set to thereby identify said unknown sample.
›16.↳ 1The method of claim 1 wherein said LIBS data set comprises at least one hyperspectral LIBS image.d2
The method of claim 1 wherein said LIBS data set comprises at least one hyperspectral LIBS image.
›17.↳ 1The method of claim 1 wherein said LIBS data set comprises at least one of: a spatially accurate wavelength resolved LIBS image, a LIBS spectrum, and …d2
The method of claim 1 wherein said LIBS data set comprises at least one of: a spatially accurate wavelength resolved LIBS image, a LIBS spectrum, and combinations thereof.
›18.↳ 1The method of claim 1 wherein said Raman data set comprises at least one hyperspectral Raman image.d2
The method of claim 1 wherein said Raman data set comprises at least one hyperspectral Raman image.
›19.↳ 1The method of claim 1 wherein said Raman data set comprises at least one of: a spatially accurate wavelength resolved Raman image, a Raman spectrum, a…d2
The method of claim 1 wherein said Raman data set comprises at least one of: a spatially accurate wavelength resolved Raman image, a Raman spectrum, and combinations thereof.
›20.↳ 1The method of claim 1 wherein said first portion of said unknown sample and said second portion of said unknown sample are illuminated in one of the f…d2
The method of claim 1 wherein said first portion of said unknown sample and said second portion of said unknown sample are illuminated in one of the following modalities: sequentially, simultaneously, and combinations thereof.
›21.↳ 1The method of claim 1 wherein said first portion of said unknown sample and said second portion of said unknown sample at least partially overlap.d2
The method of claim 1 wherein said first portion of said unknown sample and said second portion of said unknown sample at least partially overlap.
›22.↳ 1The method of claim 1 wherein at least one of said first portion of said unknown sample and said second portion of said unknown sample are illuminated…d2
The method of claim 1 wherein at least one of said first portion of said unknown sample and said second portion of said unknown sample are illuminated using a laser illumination source.
›23.↳ 1The method of claim 1 wherein said region of interest is illuminated using at least one of: a passive illumination source, a laser light source, a bro…d2
The method of claim 1 wherein said region of interest is illuminated using at least one of: a passive illumination source, a laser light source, a broadband light source, an ambient light source, and combinations thereof.
›24.↳ 1The method of claim 1 wherein at least one of said first portion of said unknown sample and said second portion of said unknown sample is illuminated …d2
The method of claim 1 wherein at least one of said first portion of said unknown sample and said second portion of said unknown sample is illuminated using at least one of: a passive illumination source, a laser light source, a broadband light source, an ambient light source, and combinations thereof.
›25.↳ 1The method of claim 1 wherein said first plurality of interacted photons, said second plurality of interacted photons, and said third plurality of int…d2+1
The method of claim 1 wherein said first plurality of interacted photons, said second plurality of interacted photons, and said third plurality of interacted photons are detected using a portable device.
›26.↳ 25The method of claim 25 further wherein at least one of said region of interest, said first portion of said unknown sample, said second portion of said…d3
The method of claim 25 further wherein at least one of said region of interest, said first portion of said unknown sample, said second portion of said unknown sample, and combinations thereof are illuminated using said portable device.
›27.↳ 1The method of claim 1 further comprising passing at least one of said first plurality of interacted photons, said second plurality of interacted photo…d2
The method of claim 1 further comprising passing at least one of said first plurality of interacted photons, said second plurality of interacted photons, said third plurality of interacted photons, and combinations thereof through a fiber array spectral translator device.
›28.↳ 1The method of claim 1 wherein at least one of said first plurality of interacted photons, said second plurality of interacted photons, said third plur…d2+1
The method of claim 1 wherein at least one of said first plurality of interacted photons, said second plurality of interacted photons, said third plurality of interacted photons, and combinations thereof, are detected using a focal plane array detector.
›29.↳ 28The method of claim 28 wherein said focal plane array detector is selected from the group consisting of: an InGaAs detector, a CMOS detector, an ICCD …d3
The method of claim 28 wherein said focal plane array detector is selected from the group consisting of: an InGaAs detector, a CMOS detector, an ICCD detector, a CCD detector, and combinations thereof.
›30.↳ 1The method of claim 1 wherein said analyzing of said test data set further comprises comparing said test data set to at least one reference data set u…d2
The method of claim 1 wherein said analyzing of said test data set further comprises comparing said test data set to at least one reference data set using a chemometric technique.
›31.↳ 1The method of claim 1 wherein said analyzing of at least one of said LIBS data set and said Raman data set further comprises comparing at least one of…d2
The method of claim 1 wherein said analyzing of at least one of said LIBS data set and said Raman data set further comprises comparing at least one of said LIBS data set and said Raman data set to at least one reference data set using a chemometric technique.
›32.↳ 1The method of claim 1 wherein identifying said unknown sample further comprises identifying said unknown sample as at least one of: a biological mater…d2
The method of claim 1 wherein identifying said unknown sample further comprises identifying said unknown sample as at least one of: a biological material, a chemical material, an explosive material, a hazardous material, a concealment material, a non-hazardous material, and combinations thereof.
