Abstract: The conformal spectral library training method (CSLTM) of the disclosure allows sets of voltages for an optical filter to be calculated by way of a direct calculation without processing large amounts of spectral information, which significantly increases the speed of processing spectral information.

Abstract: The conformal spectral library training method (CSLTM) of the disclosure allows sets of voltages for an optical filter to be calculated by way of a direct calculation without processing large amounts of spectral information, which significantly increases the speed of processing spectral information.

Abstract: System and method for assessing the occurrence of an unknown substance in a sample that comprises multiple entities. A reference library is provided comprising a plurality of reference data sets representative of at least one known substance. A first feature of the entities is assessed wherein the first feature is characteristic of the unknown substance. A region of interest is selected wherein the region of interest comprises at least one entity exhibiting the first feature. A spatially accurate wavelength resolved Raman image is obtained wherein each pixel in the image is the Raman spectrum of the sample at the corresponding location. The spatially accurate wavelength resolved image is assessed to thereby identify the unknown substance.

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: System and method for assessing the occurrence of an unknown substance in a sample that comprises multiple entities. A reference library is provided comprising a plurality of reference data sets representative of at least one known substance. A first feature of the entities is assessed wherein the first feature is characteristic of the unknown substance. A region of interest is selected wherein the region of interest comprises at least one entity exhibiting the first feature. A spatially accurate wavelength resolved Raman image is obtained wherein each pixel in the image is the Raman spectrum of the sample at the corresponding location. The spatially accurate wavelength resolved image is assessed to thereby identify the unknown substance.

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 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 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 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 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 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.

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.