Abstract: A method for assessing the presence of a pathogenic microorganism in a sample. A sample is illuminated to thereby produce a first plurality of interacted photons which may be scattered, emitted, reflected and/or absorbed by the sample. The first plurality of interacted photons are assessed to thereby generate a Raman data set representative of the sample. This Raman data set is analyzed to thereby determine at least one of: the presence of a pathogenic microorganism in said sample and the absence of a pathogenic microorganism in said sample. The Raman data set may comprise at least one of a Raman spectrum and/or a Raman chemical image representative of the sample. The analysis may comprise comparing said Raman data set to at least one reference Raman data set representative of a known sample. This may be achieved using a chemometric technique.

Abstract: A system and method to distinguish normal cells from cells having undergone a biochemical change. A pre-determined vector space is selected where the vector space mathematically describes a first plurality of reference spectral data sets for normal cells and a second plurality of reference spectral data sets for cells having undergone a biochemical change. A sample is irradiated to generate a target spectral data set based on photons absorbed, reflected, emitted, or scattered by the sample. The target spectral data set is transformed into a pre-determined vector space. A distribution of transformed data is analyzed in the pre-determined vector space. Based on the analysis, the sample is classified as containing normal cells, cells having undergone a biochemical change, and combinations thereof. The method includes treating the sample with a pharmaceutical agent prior to irradiating the sample and using the classification to assess the efficiency of the pharmaceutical agent.

Abstract: The present disclosure provides for a system and method for detecting explosives and other materials in a sample scene. First interacted photons are produced from a target area wherein the first interacted photons are generated via solar radiation. The first interacted photons are assessed to thereby generate a SWIR hyperspectral image. The SWIR hyperspectral image is analyzed to identify an area of interest likely of comprising an explosive material. The area of interest is illuminated using laser light illumination to generate second interacted photons from the area of interest. These second interacted photons are assessed to determine whether it not an explosive material is present in the area of interest. The system and method may be configured in standoff, OTM, static and UGV configurations.

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: A sample is illuminated to thereby generate a plurality of first interacted photons selected. The first interacted photons are assessed using a visible imaging device to thereby determine an area of interest in the sample. The area of interest is illuminated to thereby generate a plurality of second interacted photons. The second interacted photons are assessed using a spectroscopic device to thereby generate a SWIR data set representative of said area of interest. A database is searched wherein said database comprises a plurality of known SWIR data sets associated with an explosive material. The data sets comprise at least one of: a plurality of SWIR spectra and a plurality of spatially accurate wavelength resolved SWIR images. An explosive material in the area of interest is thereby identified as a result of the search.

Abstract: The present disclosure provides for a correction filter that may be configured to comprise a predetermined arrangement of thin film layers. This arrangement of thin film layers may be such that it effectively enables a correction filter to generate a predetermined spectral response, wherein said predetermined spectral response is substantially the same as a determined instrument response correction associated with an instrument. The invention of the present disclosure therefore provides for effectively compensating for transmission inefficiencies associated with an instrument without the need for separate reference measurements to determine and correct for instrument response.

Abstract: The present disclosure provides for a system and method for analyzing biological samples to thereby provide a diagnosis. A system may comprise an illumination source, a filter and a detector configured to generate at least one of: a visible data set representative of a biological sample, a SWIR data set representative of a biological sample, and combinations thereof.

Abstract: The present disclosure provides for a method for analyzing treated fingerprints on a document. A sample document is provided. A digital image of the sample document is obtained. The sample document is treated with a reagent and a hyperspectral image of the document is obtained. The hyperspectral image of the document is analyzed to determine a region of interest and a hyperspectal image is obtained of the region of interest. The present disclosure also provides for a system comprising a carrier frame, an imaging station for obtaining a digital image of the sample document, a first processing station for treating the document and a second processing station for developing the treated document, a second imaging station for obtaining a hyperspectral image of at least one of the document and a region of interest of the document, and a robotic subsystem for transporting the document through the system.

Abstract: A system and method for performing multispectral color addition imaging. An optical image is obtained for a sample scene comprising one or more target materials. Spectroscopic data is obtained for one or more target materials. A first and second waveband of interest are obtained for one or more target materials. A ratio of the first and second wavebands of interest is obtained and compared to one or more ranges of threshold values. Based on this comparison, a result is displayed wherein this result comprises a pseudo color overlay on said optical image. The pseudo color image may comprise one or more pseudo colors assigned to one or more target materials so as to differentiate and identify the target materials present in the sample scene.

Abstract: System and method for determining a disease state of a sample. A sample is positioned in a field of view and a first spectroscopic data set is obtained. The positional information is stored and the sample is treated with a contrast enhancing agent. The sample is repositioned in the field of view and a digital image is obtained. The spectroscopic data is linked with the digital image and a database comprising representative spectroscopic data sets is searched to classify the disease state of the sample. The disclosure also provides for the step of obtaining a processed derivative image and searching a database comprising representative processed derivative images to classify a disease state of the sample.

Abstract: A system and method for the deposition and analysis of a sample comprising exhaled particles. The sample may be deposited on a substrate and regions of interest comprising exhaled particles may be targeted using autofluorescence. Regions of interest comprising exhaled particles may then be interrogated to thereby generate a spectroscopic data set. This spectroscopic data set may be compared to a reference data set associated with at least one of the following: a known disease state, a known metabolic state, a known inflammatory state, a known immunologic state, a known infectious state, and combinations thereof.

Abstract: A method and a portable device for assessing the occurrence of an agent in a sample. A sample is illuminated with photons emanating from a portable device to produce photons reflected, emitted, or absorbed from a set of multiple points in the sample having a defined geometric relationship. The portable device is used to simultaneously illuminate the sample and analyze the photons reflected, emitted, or absorbed from the set of multiple points using spectroscopic methods, including infrared, fluorescence, and UV/visible. The agent assessed may include a hazardous agent, a chemical agent, a biological agent, a microorganism, a bacterium, a protozoan, a virus, and combinations thereof.

Abstract: A system and method for determining a disease state and clinical outcome of a sample. A sample is illuminated to produce Raman scattered photons, the Raman scattered photons are assessed to generate a Raman spectroscopic data set representative of the sample, wherein said Raman spectroscopic data set comprises at least one of: a Raman spectra of the sample and a spatially accurate wavelength resolved Raman image of the sample; the Raman spectroscopic data set is evaluated using a chemometric technique to classify the disease state of the sample as: acute, chronic, incipient, or none. In one embodiment, the chemontric technique is principle component analysis. In another embodiment, the sample is obtained prior to transplantation and analysis can determine the likelihood of rejection by a host.

Abstract: Raman molecular imaging (RMI) is used to detect mammalian cells of a particular phenotype. The disclosure includes the use of RMI to detect transplanted and/or grafted cells, to differentiate between normal and diseased cells or tissues, as well as in determining the grade of said cancer cells. Raman scattering data may be analyzed to determine the transplant efficiency, disease state, clinical outcome, and/or prognosis of cells or tissue. This data may be combined with visual image data to produce hybrid images which depict both a magnified view of the cellular structures and information relating to the disease state of the individual cells in the field of view. Also, RMI techniques may be combined with visual image data and validated with other detection methods to produce confirm the matter obtained by RMI.

Abstract: The disclosure provides for a portable device for detecting hazardous agents, including explosives using SWIR hyperspectral imaging. The device may comprise a collection optics, a SWIR multi-conjugate filter, a SWIR camera, and a display. The device may also comprise an RGB camera. The disclosure also provides for a method of using said portable device wherein interacted photons are collected and passed through a SWIR multi-conjugate filter. The interacted photons are detected to generate at least one SWIR hyperspectral image. The SWIR hyperspectral image may be analyzed to determine the presence or absence of a hazardous agent on a target. An RGB image of a target may also be generated and analyzed to survey a sample scene.

Abstract: System and method for differentiating tissue margins in a biological sample using pulsed laser excitation and time-gated detection. A region containing a biological tissue is irradiated with substantially monochromatic pulsed laser light to thereby produce Raman scattered photons. The Raman scattered photons are detected using time-gated detection to thereby obtain a Raman spectroscopic image from the irradiated region characteristic of either a neoplastic portion or a non-neoplastic portion of the region containing the biological tissue. A boundary between a neoplastic portion and a non-neoplastic portion is differentiated and the boundary location in the Raman spectroscopic image is displayed.

Abstract: The present disclosure provides for a system and method for detecting, identifying and/or distinguishing between ignitable liquid residues on various types of substrates. A method may comprise generating a fluorescence data set representative of a substrate, which may comprise a fluorescence hyperspectral image. This fluorescence data set may be analyzed to determine the presence and/or identity of an ignitable liquid residue. Regions of a substrate comprising an ignitable liquid residue may further be interrogated using Raman techniques. This may comprise generating and analyzing a Raman data set representative of a region of interest of a substrate to thereby identify an ignitable liquid residue. A system may comprise an illumination source, a tunable filter, and a first detector configured to generate a fluorescence data set. The system may further comprise a second detector configured to generate a Raman data set representative of a region of interest of a substrate.

Abstract: A system and method for identifying an unknown substance in a sample comprising multiple entities. A method may comprise generating a RGB image representative of a sample and assessing said RGB image to identify at least one region of interest. This region of interest may he assessed to generate a spatially accurate wavelength resolved image, which may be a hyperspectral image. This spatially accurate wavelength resolved image may comprise a fluorescence, Raman, near infrared, short wave infrared, mid wave infrared and/or long wave infrared image. This spatially accurate wavelength resolved image may be assessed to identify said unknown substance. A system may comprise: a reference database, a first detector for generating an RGB image, a second detector for generating a spatially accurate wavelength resolved image, and a means for assessing said RGB image and said spatially accurate wavelength resolved image.

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: A system and method for standoff detection of explosives and explosive residue. A laser light source illuminates a target area having an unknown sample producing luminescence emitted photons, scattered photons and plasma emitted photons. A first optical system directs light to the target area. A video capture device outputs a dynamic image of the target area. A second optical system collects photons, and directs collected photons to a first two-dimensional array of detection elements and/or to a fiber array spectral translator device which device includes a two-dimensional array of optical fibers drawn into a one-dimensional fiber stack. A spectrograph is coupled to the one-dimensional fiber stack of the fiber array spectral translator device, wherein the entrance slit of the spectrograph is coupled to the one dimensional fiber stack.