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: The disclosure relates generally to methods and apparatus for using 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 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 invention relates to methods of dynamic chemical imaging, including methods of cellular imaging. The method comprises illuminating at least a portion of a cell with substantially monochromatic light and assessing Raman-shifted light scattered from the illuminated portion at a plurality of discrete times. The Raman-shifted light can be assessed at a plurality of Raman shift (RS) values at each of the discrete times, and the RS values can be selected to be characteristic of a pre-selected component at each of the discrete times. Multivariate analysis of Raman spectral features of the images thus obtained can yield the location and chemical identity of components in the field of view. This information can be combined or overlaid with other spectral data (e.g., a visible microscopic image) obtained from the field of view.

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 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: A fiberscope device is disclosed which is suitable for video imaging, laser Raman spectroscopy and laser Raman spectroscopic (i.e. chemical) imaging. The fiberscope design minimizes fiber background interference arising from the laser delivery fiber optic and the coherent fiber optic light gathering bundle while maintaining high light throughput efficiency through the use of integrated spectral filters. In the fiberscope design, the laser delivery fiber optic is offset from the coherent fiber optic light gathering bundle. The laser delivery field is captured entirely by the light gathering field of view of the coherent fiber bundle. The fiberscope incorporates spectral filter optical elements that provide environmental insensitivity, particularly to temperature and moisture.

Abstract: The disclosure generally relates to 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.

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: 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: 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: 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 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: A method for improved forensic analysis using multi-view digital imaging of forensic specimens at a plurality of reflected, scattered, emitted, transmitted or absorbed wavelengths to provide new detailed information to distinguish and differentiate forensic materials and samples.

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: The disclosure relates to a portable and/or handheld bioagent detector and methodology described herein that is based in part on advanced Raman Chemical Imaging (“RCI”) technology. According to one embodiment of the present disclosure, the detection system may include a fiber array spectral translator (“FAST”) and may also include a probe which may include a complementary metal oxide semiconductor (CMOS) camera. The probe alleviates the need to place the main instrument close to an unconfined release of a potentially hazardous material and facilitates analysis of a sample that is situated in a hard-to-reach location while minimizing contamination of the detector and operator.

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 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 method for analyzing data from an unknown substance, whereby target data representative of an unknown substance is received and compared to reference data associated with one or more known substances. Such comparison determines one or more candidate substances. After determining candidate substances, it is determined if the target data is unique to a candidate substance. If the target data is unique to one of the candidate substances, then this determination is confirmed with fusion. If the target data is not unique, then the target data may be subjected to fusion and unmixing with fusion. If analysis of the target data determines that an outlier is present, then this target data is added to a pool of unassigned data. The addition of this new data to the pool of unassigned data may result in clustering of enough of the previously unassigned data to form a new candidate class.