Abstract: The present disclosure provides systems and methods for determining the presence of a target material in a sample. In general terms, the system and method disclosed herein provide collecting interacted photons from a sample having a target material. The interacted photons are passed through a tunable filter to a VIS-NIR detector where the VIS-NIR detector generates a VIS-NIR hyperspectral image representative of the filtered interacted photons. The hyperspectral image of the filtered interacted photons is analyzed by comparing the hyperspectral image of the filtered interacted photons to known hyperspectral images to identify the presence of a target material in a sample. The systems and methods disclosed herein provide easy identification of the presence of a target material in a sample.

Abstract: Medical imaging systems for use in conjunction with an endoscope are described. Generally, the medical imaging system includes an illumination source configured to generate illuminating photons. The illuminating photons are transmitted to one or more filters configured to filter a first plurality of illuminating photons and generate a first plurality of filtered photons comprising a first passband wavelength and a second plurality of filtered photons comprising a second passband wavelength. A sample is then illuminated with the first plurality of filtered photons and the second plurality of filtered photons to generate a first plurality of interacted photons and a second plurality of interacted photons. One or more detectors are configured to detect the first plurality of interacted photons and the second plurality of interacted photons and generate one or more image data sets.

Abstract: A system and method for analyzing unknown materials on surfaces including, but not limited to, chemical materials, biological materials, hazardous materials, drug materials, and non-threat materials using SWIR and/or extended range SWIR hyperspectral and spectroscopic techniques. A system comprising a collection optics, a tunable filter, and a first detector for generating a test data set representative of the unknown sample. A second detector, comprising a visible imaging device, may be configured to operate in a scanning mode to locate areas of interest for further interrogation using SWIR. A method comprising generating a SWIR test data set representative of the unknown sample and analyzing the unknown sample to detect, identify and/or distinguish an unknown material as a known material. This analysis may be achieved by comparing the test data set to a reference data set using at least one chemometric technique.

Abstract: A method for analyzing organ samples using hyperspectral imaging comprising illuminating an organ sample to generate interacted photons, collecting the interacted photons and passing the interacted photons through a tunable filter. The filtered interacted photons are detected to generate a hyperspectral image. A brightfield image is generated and associated with the hyperspectral image. Spectra from locations of interest are extracted and analyzed to assess a characteristic of the organ sample. A system may comprise an illumination source to illuminate an organ sample and generate interacted photons, a collection optics for collecting the interacted photons and a tunable filter to filter the interacted photons. A detector is configured to detect the filtered photons and generate at least one hyperspectral image. The detector may also be configured to generate at least one brightfield image representative of the organ sample.

Abstract: A system and method for analyzing biological samples, such as dried human blood serum, to determine a disease state such as colorectal cancer (CRC). Using dried samples may hold potential for enhancing localized concentration and/or segmentation of sample components. The method may comprise illuminating at least one location of a biological sample to generate a plurality of interacted photons, collecting the interacted photons and generating at least one Raman data set representative of the biological sample. A system may comprise an illumination source to illuminate at least one location of a biological sample and generate at least one plurality of interacted photons, at least one mirror for directing the interacted photons to a detector. The detector may be configured to generate at least one Raman data set representative of the biological sample. The system and method may utilize a FAST device for multipoint analysis or may be configured to analyze a sample using a line scanning configuration.

Abstract: A system and method for detecting explosives and explosive residues. A region of interest is surveyed using a video capture device to thereby identify a target area wherein the target area comprises an unknown material. The target area is interrogated using SWIR spectroscopic methods to form a SWIR hyperspectral image of the target area. The SWIR hyperspectral image is analyzed to thereby identify the unknown material.

Abstract: The present disclosure provides for a system and method for analyzing a sample comprising at least one unknown material. A first location may be scanned to generate a SWIR hyperspectral image. The SWIR hyperspectral image may be generated using dual polarization techniques. The SWIR hyperspectral image may be analyzed to target a second location comprising the unknown material. This second location may be further analyzed using Raman spectroscopic techniques and a Raman data set may be generated. The Raman data set may be further analyzed to associate the unknown material with a know material.

Abstract: The present disclosure provides for a system and method for detecting and identifying unknown targets. At least one region of interest comprising an unknown target in a sample scene may be targeted using SWIR spectroscopic techniques. A region of interest may be surveyed to thereby determine whether or not a human is present. This surveying may be achieved my assessing LWIR data, data acquired from motion sensors, and combinations thereof. If no human is present in a region of interest, the region may be interrogated using Raman spectroscopic techniques to thereby obtain a Raman data set representative of the region of interest. This Raman data set may be assessed to thereby identify said unknown target. This assessment may be achieved by comparing the Raman data set to a reference data sets in a reference database, where each reference data set is associated with a known target.

Abstract: The present disclosure describes security screening systems and methods for identifying a suspect material in a sample. In general terms, the system and method disclosed herein provide collection optics configured to collect a first plurality of interacted photons from an illuminated sample and generating a first optical signal. The first optical signal is separated into a plurality of optical components where the plurality of optical components are filtered by a plurality of filters. Each filter of the plurality of filters is configured to filter the plurality of optical components into a passband wavelength to generate a plurality of filtered components. The plurality of filtered components are detected by one or more detectors and one or more wavelength specific spectral images are generated. A processor is configured to analyze the one or more wavelength specific spectral images in order to identify the suspect material in the sample.

Abstract: A first location comprising an unknown material may be scanned using SWIR hyperspectral imaging in a dual polarization configuration. Surveying may also be applied to thereby determine whether or not a human is present. This surveying may be achieved my assessing LWIR data, data acquired from motion sensors, and combinations thereof. If no human is present, a second location may be interrogated using Raman spectroscopic techniques to thereby obtain a Raman data set representative of the region of interest. This Raman data set may be assessed to associate an unknown material with a known material. This assessment may be achieved by comparing the Raman data set to one or more reference data sets in a reference database, where each reference data set is associated with a known material.

Abstract: A system and method for detection and identification of unknown samples using a combination of Raman and LIBS detection techniques. A first region of a sample and a second region of a sample are illuminated using structured illumination to thereby generate a first plurality of interacted photons and a second plurality of interacted photons. This first plurality and second plurality of interacted photons may be passed through a fiber array spectral translator device. Said first plurality of interacted photons are assessed using Raman spectroscopy to thereby generate a Raman data set. Said second plurality of interacted photons are assessed using LIBS spectroscopy to thereby generate LIBS data set. These data sets may be analyzed to identify the sample. These data sets may also be fused for further analysis.

Abstract: A method for detecting unknown materials, such as drugs. A first location is surveyed using a video capture device to identify a second location comprising an unknown material. The second location is interrogated using SWIR spectroscopic and/or imaging methods to generate a SWIR hyperspectral image. The SWIR hyperspectral image is analyzed to associate the unknown material with a known drug material. A system for detecting unknown materials, such as drugs comprising a first collection lens for collecting interacted photons from a first location and a visible imaging device for generating a visible image. A second collection lens may collect a plurality of interacted photons from a second location and a tunable filter may filter the interacted photons. A spectroscopic imaging device may detect the interacted photons and generate a SWIR hyperspectral image. A processor may analyze the SWIR hypespectral image to associate an unknown material with a known material.

Abstract: A portable system and method for detecting drug materials. A portable system may comprise at least one collection lens for collecting a plurality of interacted photons, a tunable filter for filtering the photons, and a SWIR detector for generating at least one SWIR data set representative of a first location comprising an unknown sample. A processor may analyze the SWIR data set to associate the unknown material with a known drug material. A method may comprise collecting a plurality of interacted photons, filtering the interacted photons into a plurality of wavelength bands, detecting the filtered photons to generate a SWIR data set and analyzing the SWIR data set to associate an unknown material with a known drug material.

Abstract: The present disclosure provides for a portable device for detecting the presence of explosive materials, including bulk explosive materials and out-gassed by products of explosive materials. The portable device may comprise a tunable filter and a NIR detector, configured so as to generate a NIR hyperspectral image representative of a target. The portable device may also comprise a RGB detector configured to generate a video image of a region of interest. The disclosure also provides for a method of detecting explosive materials using NIR hyperspectral imaging which may comprise collecting interacted photons, passing the interacted photons through a tunable filter, and detecting the interacted photons to generate a NIR hyperspectral image representative of a target. The method may also comprise surveying a region of interest using a RGB detector to identify a target for further inspection using NIR hyperspectral imaging.

Abstract: A system and method for the detection and identification of explosives and explosive residues using a combination of SWIR, Raman, and LIBS spectroscopy techniques, including imaging. A region of interest may be surveyed to identify a target area, wherein the target area comprises at least one unknown material. This surveying may be accomplished using visible imagery or SWIR imagery. The target area may be interrogated using Raman spectroscopy and LIBS spectroscopy to identify the unknown material. SWIR techniques may also be used to interrogate the target area. Fusion algorithms may also be applied to visible images, SWIR data sets, Raman data sets, and/or LIBS data sets.

Abstract: A method for generating an image of a sample that is informative of the disease state of a cell in the sample. A sample including the cell is irradiated with monochromatic light. The Raman scattered light is assessed. A digital brightfield image of the Raman scattered light is generated and combined with the Raman scattered light emitted by the cell whereby the Raman scattered light is informative of the disease state of the cell in the sample. The method can also be used to determine the metabolic activity of the cell, the inflammatory status of the cell and/or the infected status of the cell in the sample.

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.

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.

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.

Abstract: The present disclosure provides for a system and method for analyzing questioned documents. A sample document is illuminated to thereby generate a first plurality of interacted photons. The first plurality of interacted photons are detected at a first detector to thereby generate a digital image. The digital image is analyzed to thereby identify at least one region of interest of the sample document. This region of interest is illuminated to thereby generate a second plurality of interacted photons. This second plurality of interacted photons are passed through a tunable filter and detected at a second detector to thereby generate a hyperspectral image representative of the region of interest. The hyperspectral image may then be analyzed to evaluate changes to or differentiate different inks present in the sample document. Chemometric techniques such as k-means clustering, PCA, and/Or PLSDA may also be applied.