Abstract: The disclosure relates generally to methods and apparatus for using telescope optics and a fiber array spectral translator-based (“FAST”) spectroscopic system for improved imaging, spectral analysis, and interactive probing of a sample. In an embodiment, the confocality of a fiber array spectral translator-based spectroscopic system is improved through the use of structured illumination and/or structured collection of photons. User input may be received and acted upon to allow a user to interactively in real time and/or near real time view and analyze specific regions of the sample.

Abstract: A system and method to search spectral databases and to identify unknown materials. A library comprising sublibraries is provided, each sublibrary containing a plurality of reference data sets corresponding to known materials. Test data sets are provided, characteristic of an unknown material. Each test data set is generated by one or more spectroscopic data generating instruments. Each sublibrary is searched and a corresponding set of scores is produced, indicating a likelihood of a match. Relative probability values are calculated for each searched sublibrary. All relative probability values are fused producing a set of final probability values, used to determine whether the unknown material is represented through a known material in the library. A highest final probability value is selected compared to a minimum confidence value. If the probability value is greater than or equal to the minimum confidence value, the known material is reported.

Abstract: A system and method to search spectral databases and to identify unknown materials from multiple spectroscopic data in the databases. The methodology may be substantially automated and is configurable to determine weights to be accorded to spectroscopic data from different spectroscopic data generating instruments for improved identification of unknown materials. Library spectra from known materials are divided into training and validation sets. Initial, instrument-specific weighting factors are determined using a weight grid or weight scale. The training and validation spectra are weighted with the weighting factors and indicator probabilities for various sets of “coarse” weighting factors are determined through an iterative process. The finally-selected set of coarse weighting factors is further “fine tuned” using a weight grid with finer values of weights.

Abstract: The invention relates to apparatus and methods for assessing occurrence of a hazardous agent in a sample by performing multipoint spectral analysis of the sample. Methods of employing Raman spectroscopy and other spectrophotometric methods are disclosed. Devices and systems suitable for performing such multipoint methods are also disclosed.

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 invention relates to apparatus and methods for assessing occurrence of a hazardous agent in a sample by performing multipoint spectral analysis of the sample. Methods of employing Raman spectroscopy and other spectrophotometric methods are disclosed. Devices and systems suitable for performing such multipoint methods are also disclosed.

Abstract: In one embodiment, the disclosure relates to a method for interrogating a sample by: illuminating a first region of the sample with a first illumination pattern to obtain a plurality of first sample photons; illuminating a second region of the sample with a second illumination pattern to obtain a plurality of second sample photons; processing the plurality of first sample photons to obtain a characteristic atomic emission of the first region and processing the plurality of second sample photons to obtain a Raman spectrum; and identifying the sample through at least one of the characteristic atomic emission of the first region or the Raman spectrum of the second region of the sample.

Abstract: A system and method to search spectral databases to identify unknown materials, specifically pathogenic microorganisms. A library is provided, having sublibraries containing reference data sets of known materials and test data sets, both generated by at least one spectroscopic data generating instrument. For each test data set, each sublibrary associated with the instrument used is searched. A set of scores for each searched sublibrary is produced, representing the likelihood of a match between the reference data set and test data set. Relative probability values are calculated for each searched sublibrary. All relative probability values are fused producing a set of final probability values, used in determining whether the unknown material is represented through a known material in the library. The known material represented in the libraries having the highest final probability value is reported, if the highest final probability value is greater than or equal to the minimum confidence value.

Abstract: The present disclosure relates to a method and system for enhancing the ability of nuclear, chemical, and biological (“NBC”) sensors, specifically mobile sensors, to detect, analyze, and identify NBC agents on a surface, in an aerosol, in a vapor cloud, or other similar environment. Embodiments include the use of a two-stage approach including targeting and identification of a contaminant. Spectral imaging sensors may be used for both wide-field detection (e.g., for scene classification) and narrow-field identification.

Abstract: The disclosure provides for a system and method for detecting a threat agent. A sample is illuminated to produce photons Raman scattered and emitted by the sample. The Raman scattered photons are collected using time-gated detection without collecting the emitted photons. A Raman spectroscopic data set is generated from said Raman scattered photons wherein said Raman spectroscopic data comprises at least one of a Raman spectrum and a Raman chemical image. The Raman spectroscopic data is assessed to thereby determine the presence or absence of a threat agent in the sample. The sample may be in a target area. The sample may be illuminated using a pulsed laser or an intensity modulated laser. The illumination source may be synchronized with a gating element that enables time-gated detection.

Abstract: In one embodiment, the disclosure relates to a method for interrogating a sample by: illuminating a first region of the sample with a first illumination pattern to obtain a plurality of first sample photons; illuminating a second region of the sample with a second illumination pattern to obtain a plurality of second sample photons; processing the plurality of first sample photons to obtain a characteristic atomic emission of the first region and processing the plurality of second sample photons to obtain a Raman spectrum; and identifying the sample through at least one of the characteristic atomic emission of the first region or the Raman spectrum of the second region of the sample.

Abstract: A method and apparatus for automated spectral calibration of a spectroscopy device. In one embodiment, the disclosure relates to a method for simultaneous calibration and spectral imaging of a sample by: simultaneously illuminating the sample and a calibrant with a plurality of illuminating photons; receiving, at the spectrometer, a first plurality of photons collected from the sample and a second plurality of photons collected from the calibrant; forming a calibrant spectrum from the first plurality of collected photons and a sample spectrum from the second plurality of collected photons; comparing the calibrant spectrum with a reference spectrum of the calibrant to determine a wavelength-shift in the calibrant spectrum; applying the wavelength-shift to the sample spectrum to obtain a calibrated sample spectrum; and forming a spatially accurate wavelength resolved image of the sample from the first plurality of collected photons.

Abstract: The disclosure relates generally to methods and apparatus for obtaining a super resolution image of a sample using a fiber array spectral translator system. In one embodiment includes collecting photons from a sample at a first end of a fiber array spectral translator; delivering the photons from a second end of the fiber array spectral translator into a multiple detector rows of a photon detector; interpolating between the multiple detector rows to thereby form interpolated rows; and arranging an output of the multiple detector rows and the interpolated rows so as to obtain a super resolution image of the sample.

Abstract: A method of assessing occurrence of a plant pathogen in a sample. The method comprises irradiating the sample and assessing radiation scattered from the sample for radiation that exhibits a Raman scattering characteristic of the pathogen. Detection of scattered radiation that exhibits a Raman shift characteristic of the pathogen is an indication that the pathogen occurs in the sample.

Abstract: The disclosure relates generally to methods and apparatus for using telescope optics and a fiber array spectral translator-based (“FAST”) spectroscopic system for improved imaging, spectral analysis, and interactive probing of a sample. In an embodiment, the confocality of a fiber array spectral translator-based spectroscopic system is improved through the use of structured illumination and/or structured collection of photons. User input may be received and acted upon to allow a user to interactively in real time and/or near real time view and analyze specific regions of the sample.

Abstract: The disclosure relates to a portable system for obtaining a spatially accurate wavelength-resolved image of a sample having a first and a second spatial dimension that can be used for the detection of hazardous agents by irradiating a sample with light, forming an image of all or part of the sample using Raman shifted light from the sample, and analyzing the Raman shifted light for patterns characteristic of one or more hazardous agents.

Abstract: A system and method of detecting explosive compounds located on a sample. The sample is irradiated with animal-safe ultra-violet radiation generating a fluorescence data set. A fluorescence database is searched based on the fluorescence data set in order to identify a known fluorescence data set. If the searching of the fluorescence database identifies a known fluorescence data set, an area of interest in the sample is identified based on the known fluorescence data set identified in the fluorescence database searching. The area of interest is irradiated with substantially monochromatic radiation to generate a Raman data set of the area of interest. A Raman database is searched based on the Raman data set in order to identify a known Raman data set. An explosive compound in the area of interest is identified based on the known Raman data set identified by searching the Raman database.

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.

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: Methods for detecting and classifying an unknown substance in a sample include the steps of (a) providing a spectrum for each of a predetermined number of reference substances; (b) detecting an area of interest that contains the unknown substance; (c) targeting the area of interest; (d) determining a spectrum of the unknown substance from the area of interest; (e) comparing the determined spectrum of the unknown substance with the spectrum of one or more of the reference substances; and (f) classifying the unknown substance based on the comparison of spectra.