Abstract: The disclosure relates to methods and apparatus for assessing occurrence of one or more hazardous agents in a sample by performing multipoint spectral analysis of the sample using a portable or hand-held device. Methods of employing Raman spectroscopy and other spectrophotometric methods are disclosed. Devices and systems suitable for performing such multipoint methods are also disclosed.

Abstract: A system and method for depositing a sample of a threat agent is deposited onto a substrate. The threat agent is identified substantially coincident in time with the depositing of the sample of the threat agent onto the substrate.

Abstract: A container for holding a sample and a system and method for a handheld spectrometer using the container is disclosed. In one embodiment, the container includes a vial with an optical window at the base of the vial. A sample may be placed in the vial. A hollow plunger may be slidably inserted into the vial which seals the gap between the plunger and the walls of the vial. The plunger includes a filter element. When the plunger is inserted into the vial, the sample is forced against the optical window and the filter element vents liquid and/or gas that is in the vial into the hollow plunger. A portable or handheld system for detecting, for example, biothreat agents makes use of the container in order to determine a spectrum of the sample. The optical window of the container is preferably substantially transparent to photons illuminating the sample and to photons produced due to the interaction of the illuminating photons and the sample.

Abstract: A system and method for depositing a sample of a threat agent onto a substrate. A single illumination source illuminates the threat agent deposited on the substrate with a plurality of photons to thereby produce elastic scattered photons and Raman scattered photons. The threat agent on the substrate is identified. The system and method operate in a trigger mode that detects the presence or absence of the threat agent, and an identification mode that identifies the threat agent.

Abstract: A system and method for depositing a sample of a threat agent is deposited onto a substrate. A first optical collection device collects at least one of the following: elastic scattered light produced by the threat agent, and Raman scattered light produced by the threat agent. A second optical collection device collects Raman scattered light produced by the threat agent, wherein the second optical collection device comprises a two dimensional non-linear array of optical fibers drawn into a one dimensional fiber stack that converts a non-linear field of view into a linear field of view, wherein the one dimensional fiber stack is coupled to an entrance slit of a Raman imaging spectrometer. The threat agent deposited on the substrate is identified.

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 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: 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: 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: 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: 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: 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: 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: A container for holding a sample and a system and method for a handheld spectrometer using the container is disclosed. In one embodiment, the container includes a vial with an optical window at the base of the vial. A sample may be placed in the vial. A hollow plunger may be slidably inserted into the vial which seals the gap between the plunger and the walls of the vial. The plunger includes a filter element. When the plunger is inserted into the vial, the sample is forced against the optical window and the filter element vents liquid and/or gas that is in the vial into the hollow plunger. A portable or handheld system for detecting, for example, biothreat agents makes use of the container in order to determine a spectrum of the sample. The optical window of the container is preferably substantially transparent to photons illuminating the sample and to photons produced due to the interaction of the illuminating photons and the sample.

Abstract: A method for the detection and identification of pathogenic microorganisms using Raman scattered light and emitted light. The method may include passing the Raman scattered light and emitted light through a FAST fiber array spectral translator.

Abstract: A method for the detection and identification of pathogenic microorganisms using Raman scattered light and transmitted light in the near infrared spectral region. The method may include passing the Raman scattered light and transmitted light through a FAST fiber array spectral translator.

Abstract: Pathogenic microorganisms are detected and classified by spectral imaging of the Raman light scattered by the organisms.

Abstract: Pathogenic microorganisms are detected in a wide field of view and classified by Raman light scattered light from these organisms together with digital pattern recognition of their spectral patterns.

Abstract: Pathogenic microorganisms are detected and classified by spectral imaging of the Raman light scattered by the organisms.

Abstract: Pathogenic microorganisms are detected and classified by spectral imaging of the Raman light scattered by the organisms.