Abstract: The disclosure relates generally to methods and apparatus for spectral calibration of a spectroscopic system which includes a fiber array spectral translator. One embodiment relates to a method for obtaining a first image of a known substance using a photon detector and a fiber array spectral translator having plural fibers, wherein the first image comprises at least one pixel; providing a second image of the substance wherein the second image comprises at least one pixel; comparing the first image with the second image; and adjusting at least one pixel of the first image based on the comparison of images to thereby obtain an adjusted image.

Abstract: A system and method for detecting aerosol threats comprising electrostatic collection and deposition of a threat agent onto a substrate. The threat agent deposited on the substrate is illuminated with a plurality of photons to thereby produce Raman scattered photons. The Raman scattered photons are analyzed in order to identify the threat agent.

Abstract: The present disclosure describes methods and systems that combine Raman spectroscopy performed in a manner that utilizes one or more of widefield illumination, simultaneous multipoint Raman spectral acquisition, and spectral unmixing for the purpose of high throughput polymorph screening. Features of this methodology include: (a) high throughput polymorph screening to reduce crystal orientation effects on Raman spectra; (b) in-well multi-polymorph screening using increased statistical sampling; and (c) multipoint spectral sampling to enable spectral unmixing.

Abstract: A system and method for detecting aerosol threats comprising electrostatic collection and deposition of a threat agent onto a substrate. The threat agent deposited on the substrate is illuminated with a plurality of photons to thereby produce Raman scattered photons. The Raman scattered photons are analyzed in order to identify the threat agent.

Abstract: The disclosure relates generally to methods and apparatus for using a fiber array spectral translator-based (“FAST”) spectroscopic system for performing spectral unmixing of a mixture containing multiple polymorphs. In an embodiment, a first spectrum of a mixture containing polymorphs of a compound is obtained using a photon detector and a fiber array spectral translator having plural fibers. A set of second spectra is provided where each spectrum of the set of second spectra may be representative of a different polymorph of the compound. The first spectrum and the set of second spectra may be compared, and based on the comparison, the presence of one or more polymorphs in the mixture may be determined.

Abstract: A system and method for depositing a sample of a threat agent onto a substrate. The deposition of the threat agent onto the substrate is visually observed by analyzing the elastic scattered photons produced by the threat agent using elastic scatter imaging to form an image of the threat agent on the substrate, wherein depositing of the threat agent is substantially coincident in time with visually observing of the deposition of the threat agent. A system and method for depositing a sample of a threat agent onto a substrate. A single illumination source illuminates the threat agent on the substrate with a plurality of photons to thereby produce elastic scattered photons. Deposition of the threat agent onto the substrate is visually observed by analyzing the elastic scattered photons produced by the threat agent using elastic scatter imaging to form an image of the threat agent on the substrate.

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: A method of ablating a viable biological pathogen in a sample. A viable biological pathogen in a portion of the sample is identified by irradiating the sample; assessing radiation scattered from the sample for radiation that exhibits a Raman shift characteristic of the viable biological pathogen, and delivering an ablating agent to the identified portion.

Abstract: The disclosure relates to a portable system having a fiber array spectral translator (“FAST”) 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 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: Raman scattering of radiation applied to a water sample is used to assess occurrence of a pathogen in the sample. The method is useful for detecting pathogens that are difficult to detect using other methods, such as protozoa. Examples of organisms that can be detected in water samples using these methods include protozoa of the genus Cryptosporidium and the genus Giardia. The methods described herein have important applications, such as for detection of Cryptosporidium organisms in municipal water systems.

Abstract: An apparatus and method for the remote analysis and identification of unknown compounds. A robotic arm positions a sensor on a surface. The sensor unit has a monitoring mechanism to monitor separation between the sensor unit and the surface when placed in contact with the surface to maintain the separation substantially constant. An illumination source illuminates the region of interest to produce scattered photons from an unknown compound. The scattered photons are collected by an optical system and delivered to a spectroscopic detector for analysis and identification. An algorithm is applied to the data generated by the spectroscopic detector to identify the unknown compound.

Abstract: The disclosure relates to method and apparatus for obtaining a multimodal hyperspectral image of a sample for widefield spectral analysis. An apparatus according to one embodiment may include a plurality of optical lenses configured to interchangeably receive photons and focus the photons; a plurality of tunable filters positioned in a filter housing, each tunable filter selectively receiving the focused dispersed photons from one of the plurality of optical lenses, each tunable filter providing wavelength-selective filtered photons; a first optical camera and a second optical cameras for selectively receiving the wavelength-selective filtered photons from each of the plurality of tunable filters and combining said filtered photons to form a hyperspectral spatially accurate, wavelength-resolved image of the sample.

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 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: Spectra data collected from a mixture defines an n-dimensional data space (n is the number of data points), and application of PCA techniques yields a subset of m-eigenvectors that effectively describe all variance in that data space. Bach member of a library of known components is examined based by representing each library spectrum as a vector in the m-dimensional space. Target factor testing techniques yield an angle between this vector and the data space. Those library members that have the smallest angles are considered to be potential mixture members and are ranked accordingly. Every combination of the top y library members is considered as a potential solution and a multivariate least-squares solution is calculated using the mixture spectra for each of the potential solutions. A ranking algorithm is then applied and used to select the combination that is most likely the set of pure components in the mixture.

Abstract: A system method for depositing a sample of a threat agent is deposited onto a substrate. The threat agent is illuminated via an illumination source along an optical path with a plurality of photons to thereby produce photons transmitted, reflected, emitted or Raman scattered by the threat agent. An optical system collects elastic scatter photons produced by the threat agent and at least one of photons transmitted, reflected, emitted or Raman scattered by the threat agent, wherein said illumination source is located along an optical path, and said substrate is located along a plane wherein the optical path is at an angle other than 90° with respect to the substrate plane. The depth of field of the optical system is extended by passing at least one of the following through a phase mask: elastic scattered photons, and photons transmitted, reflected, emitted or Raman scattered by the threat agent.

Abstract: An apparatus and method for the remote analysis and identification of unknown compounds. A robotic arm positions a sensor on a surface. The sensor unit has a monitoring mechanism to monitor separation between the sensor unit and the surface when placed in contact with the surface to maintain the separation substantially constant. An illumination source illuminates the region of interest to produce scattered photons from an unknown compound. The scattered photons are collected by an optical system and delivered to a spectroscopic detector for analysis and identification. An algorithm is applied to the data generated by the spectroscopic detector to identify the unknown compound.

Abstract: The invention relates to methods of assessing one or more geometric properties of a particle of a substance using a Raman spectroscopic property of the substance. The method is useful, for example, for assessing particle sizes and size distributions in mixtures containing both particles of the substance and other materials.

Abstract: In one embodiment, the disclosure relates to a method for detecting and classifying an unknown substance in a sample. The method including the steps of (a) providing a spectrum for each of a predetermined number of reference substances; (b) detecting an area of interest on said unknown substance; (c) targeting said area of interest; (d) determining a spectrum from said area of interest; (e) comparing the determined spectrum with the spectrum of one of the reference substances; and (f) classifying said unknown substance based on the comparison of spectra.