Abstract: A system and method for hyperspectral imaging to detect hazardous agents including explosive agents. A system comprising a tunable laser, a collection optics, and one or more hyperspectral imaging detectors configured for hyperspectral imaging of a target comprising an unknown material. A method comprising illuminating a target comprising an unknown material via a tunable laser to thereby generate a plurality of interacted photons. Detecting said interacted photons to generate at least one hyperspectral image representative of the target. One or more hyperspectral images may be obtained including SWIR, MWIR, and LWIR hyperspectral images. Algorithms and chemometric techniques may be applied to assess the hyperspectral images to identify the unknown material as comprising an explosive agent or a non-explosive agent. A video imaging device may also be configured to provide a video image of an area of interest, which may be assessed to identify a target for interrogation using hyperspectral imaging.

Abstract: The present subject matter relates to multivariate optical analysis systems employ multivariate optical elements and utilize multivariate optical computing methods to determine information about a product carried by light reflected from or transmitted through the product. An exemplary method of processing and monitoring the product includes introducing the product at an inspection point; illuminating the product with a spectral-specific light though an optic lens; directing the light that has passed through at least a section of the product through at least one multivariate optical element to produce a first signal, the directed light carrying information about the product; detecting the signal at a detector; and determining at least one property of the product based upon the detector output.

Abstract: The present disclosure provides for a system and method for rapid, accurate, and reliable targeting and interrogation of pharmaceutical samples. An autofluorescence image of a sample may be generated and analyzed to identify areas of interest that exhibit autofluorescence characteristic of APIs. These areas of interest may then be targeted for analysis using Raman chemical imaging. This Raman chemical image may be used to determine geometric properties of particles present in a sample such as size and particle distribution.

Abstract: System and method for spatially and spectrally parallelized FAST. A sample is illuminated to thereby produce interacted photons. The photons are passed through a filter and received at a two-dimensional end of a FAST device wherein said FAST device comprises a two-dimensional array of optical fibers drawn into a one-dimensional fiber stack so as to effectively convert a two-dimensional array of optical fibers into a curvilinear field of view, and wherein said two-dimensional array of optical fibers is configured to receive said photons and transfer said photons out of said fiber array spectral translator device and to a spectrograph through said one-dimensional fiber stack wherein said one-dimensional fiber stack comprises at least two columns of fibers spatially offset in parallel at the entrance slit of said spectrograph. The photons are then detected at a detector to thereby obtain a spectroscopic data set representative of the sample.

Abstract: A system and method for detection of explosive agents using hyperspectral imaging. A system comprising an illumination source, a spectral encoding device, and at least one imaging detector configured for at least one of SWIR and MWIR hyperspectral imaging of a target comprising an unknown material. A method comprising illuminating a target comprising an unknown material, assessing interacted photons using a spectral encoding device, and detecting interacted photons using at least one of SWIR hyperspectral imaging and MWIR hyperspectral imaging. Algorithms and chemometric techniques may be applied to assess the MWIR hyperspectral image to identify the unknown material as comprising an explosive agent or a non-explosive agent. A video imaging device may also be configured to provide a video image of an area of interest, which may be assessed to identify a target for interrogation using SWIR and MWIR hyperspectral imaging.

Abstract: A system and method for MWIR hyperspectral imaging to detect hazardous agents including explosive agents. A system comprising an illumination source, a tunable filter, and an imaging detector configured for MWIR hyperspectral imaging of a target comprising an unknown material. A method comprising illuminating a target comprising an unknown material, passing interacted photons through a tunable filter, and generating a MWIR hyperspectral image of the target. Algorithms and chemometric techniques may be applied to assess the MWIR hyperspectral image to identify the unknown material as comprising an explosive agent or a non-explosive agent. A video imaging device may also be configured to provide a video image of an area of interest, which may be assessed to identify a target for interrogation using MWIR hyperspectral imaging.

Abstract: The present subject matter relates to multivariate optical analysis systems employ multivariate optical elements and utilize multivariate optical computing methods to determine information about a product carried by light reflected from or transmitted through the product. An exemplary method of processing and monitoring the product includes introducing the product at an inspection point; illuminating the product with a spectral-specific light though an optic lens; directing the light that has passed through at least a section of the product through at least one multivariate optical element to produce a first signal, the directed light carrying information about the product; detecting the signal at a detector; and determining at least one property of the product based upon the detector output.

Abstract: System and method for spatially and spectrally parallelized FAST. A sample is illuminated to thereby produce interacted photons. The photons are passed through a filter and received at a two-dimensional end of a FAST device wherein said FAST device comprises a two-dimensional array of optical fibers drawn into a one-dimensional fiber stack so as to effectively convert a two-dimensional array of optical fibers into a curvilinear field of view, and wherein said two-dimensional array of optical fibers is configured to receive said photons and transfer said photons out of said fiber array spectral translator device and to a spectrograph through said one-dimensional fiber stack wherein said one-dimensional fiber stack comprises at least two columns of fibers spatially offset in parallel at the entrance slit of said spectrograph. The photons are then detected at a detector to thereby obtain a spectroscopic data set representative of the sample.

Abstract: A system and method for determining at least one geometric property of a particle in a sample. A sample is irradiated to thereby generate Raman scattered photons. These photons are collected to generate a Raman chemical image. A first threshold is applied wherein the first threshold is such that all particles in the sample are detected. A particle in the sample is selected and a second threshold is applied so that at least one geometric property of the selected particle can be determined. At least one spectrum representative of the selected particle is analyzed to determine whether or not it is a particle of interest. The step of determining a second threshold may be iterative and automated via software so that candidate second thresholds are applied until a satisfactory result is achieved.