Abstract:
The disclosure relates to identifying one or more regions of interest within a broader field of view of a dynamic sample using one or more optical components and illuminating photons. Once the region of interest is identified within a section of the broader field of view, chemical information in the form of Raman spectrum is obtained from the region of interest by focusing the illuminating photons or the optical components on the region of interest.
Abstract:
A chemical imaging system is provided which uses a near infrared radiation microscope. The system includes an illumination source which illuminates an area of a sample using light in the near infrared radiation wavelength and light in the visible wavelength. A multitude of spatially resolved spectra of transmitted, reflected, emitted or scattered near infrared wavelength radiation light from the illuminated area of the sample is collected and a collimated beam is produced therefrom. A near infrared imaging spectrometer is provided for selecting a near infrared radiation image of the collimated beam. The filtered images are collected by a detector for further processing. The visible wavelength light from the illuminated area of the sample is simultaneously detected providing for the simultaneous visible and near infrared chemical imaging analysis of the sample. Two efficient means for performing three dimensional near infrared chemical imaging microscopy are provided.
Abstract:
The disclosure generally relates to a method and apparatus for multi-wavelength imaging spectrometer. More specifically, in one embodiment, the disclosure relates to an optical filter for passing photons therethrough. The filter includes a first filter stage and a second filter stage. The first filter stage may include a first retarder element and a first liquid crystal cell. The first element may include an input face and an output face. One of the first element faces is not oriented substantially normal to the trajectory of photons passing through the filter.
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 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 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 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 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:
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:
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.