Abstract: A system and method for detecting analytes using a conformal filter. A conformal filter, which may comprise a tunable filter, is configured to filter interacted photons conforming to a spectral shape correlated with an analyte of interest. Conformal filter configurations may he selected by consulting a modified look-up table associated with an analyte. An iterative methodology may be used to calibrate a conformal design for an analyte of interest, refine a previous conformal filter design for an analyte of interest, and/or generate a new conformal filter design for an analyte of interest.

Abstract: The present disclosure provides for a system and method for detecting unknown materials. A test data set, which may comprise a hyperspectral data set, is generated representative of a first location. The test data set may be analyzed to determine a second location which may be interrogated using a Raman spectroscopic device to generate a Raman data set. The Raman data set may be analyzed to associated an unknown material with a known material such as: a chemical material, a biological material, an explosive material, a hazardous material, a drug material, and combinations thereof.

Abstract: A method and apparatus for automated spectral calibration of a spectroscopy device. 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 present disclosure provides for a system and method for detecting unknown materials. A test data set, which may comprise a hyperspectral data set, is generated representative of a first location. The test data set may be analyzed to determine a second location which may be interrogated using a Raman spectrocscopic device to generate a Raman data set. The Raman data set may be analyzed to associated an unknown material with a known material such as: a chemical material, a biological material, an explosive material, a hazardous material, a drug material, and combinations thereof.

Abstract: A system and method for locating and identifying unknown samples. A targeting mode may be utilized to scan regions of interest for potential unknown materials. This targeting mode may interrogate regions of interest using SWIR and/or fluorescence spectroscopic and imaging techniques. Unknown samples detected in regions of interest may be further interrogated using a combination of Raman and LIBS techniques to identify the unknown samples. Structured illumination may be used to interrogate an unknown sample. Data sets generated during interrogation may be compared to a reference database comprising a plurality of reference data sets, each associated with a known material. The system and method may be used to identify a variety of materials including: biological, chemical, explosive, hazardous, concealment, and non-hazardous materials.

Abstract: A system and method of determining an attribute of a biological tissue sample or a drug delivery device. A sample is illuminated with substantially monochromatic light to thereby generate Raman scattered photons. The Raman scattered photons are assessed to thereby generate a spectroscopic data set wherein said spectroscopic data set comprises at least one of: a Raman spectra and a spatially accurate wavelength resolved image. The spectroscopic data set is evaluated to determine at least one of: an attribute of a biological tissue sample and a drug delivery device. In one embodiment, the biological tissue comprises arterial tissue. In another embodiment, the drug delivery device is a drug-eluting stent. In another embodiment, Raman chemical imaging can be used to evaluate a sample and identify at least one of: the tissue, a drug, a drug delivery device, and a matrix associated with a drug delivery device.

Abstract: A SWIR hyperspectral imaging filter has serial stages along an optical signal path with angularly distributed birefringent retarders and polarizers. The retarders can include active retarders such as tunable liquid crystal birefringent elements, passive retarders such as fixed retarders, and/or combinations thereof. Distinctly different periodic transmission spectra are provided by different filter stages, each having multiple retarders, in particular with some stages having broad bandpass peaks at wide spectral spacing and other stages have very narrow closely spaced peaks. The respective spectra include at least one tunably selectable band at which the transmission spectra of the filter stages coincide, whereby the salutary narrow bandpass and wide spectral spacing ranges of different stages apply together, resulting in a high finesse wavelength filter suitable for spectral imaging.

Abstract: A method for assessing the presence of a pathogenic microorganism in a sample. A sample is illuminated to thereby produce a first plurality of interacted photons which may be scattered, emitted, reflected and/or absorbed by the sample. The first plurality of interacted photons are assessed to thereby generate a Raman data set representative of the sample. This Raman data set is analyzed to thereby determine at least one of: the presence of a pathogenic microorganism in said sample and the absence of a pathogenic microorganism in said sample. The Raman data set may comprise at least one of a Raman spectrum and/or a Raman chemical image representative of the sample. The analysis may comprise comparing said Raman data set to at least one reference Raman data set representative of a known sample. This may be achieved using a chemometric technique.

Abstract: The present disclosure provides for a system and method for detecting explosives and other materials in a sample scene. First interacted photons are produced from a target area wherein the first interacted photons are generated via solar radiation. The first interacted photons are assessed to thereby generate a SWIR hyperspectral image. The SWIR hyperspectral image is analyzed to identify an area of interest likely of comprising an explosive material. The area of interest is illuminated using laser light illumination to generate second interacted photons from the area of interest. These second interacted photons are assessed to determine whether it not an explosive material is present in the area of interest. The system and method may be configured in standoff, OTM, static and UGV configurations.

Abstract: A system and method to distinguish normal cells from cells having undergone a biochemical change. A pre-determined vector space is selected where the vector space mathematically describes a first plurality of reference spectral data sets for normal cells and a second plurality of reference spectral data sets for cells having undergone a biochemical change. A sample is irradiated to generate a target spectral data set based on photons absorbed, reflected, emitted, or scattered by the sample. The target spectral data set is transformed into a pre-determined vector space. A distribution of transformed data is analyzed in the pre-determined vector space. Based on the analysis, the sample is classified as containing normal cells, cells having undergone a biochemical change, and combinations thereof. The method includes treating the sample with a pharmaceutical agent prior to irradiating the sample and using the classification to assess the efficiency of the pharmaceutical agent.

Abstract: A system and method for determining at least one geometric property of a particle in a sample. A sample is irradiated to thereby generate Raman scattered photons. These photons are collected to generate a Raman chemical image. A first threshold is applied wherein the first threshold is such that all particles in the sample are detected. A particle in the sample is selected and a second threshold is applied so that at least one geometric property of the selected particle can be determined. At least one spectrum representative of the selected particle is analyzed to determine whether or not it is a particle of interest. The step of determining a second threshold may be iterative and automated via software so that candidate second thresholds are applied until a satisfactory result is achieved.

Abstract: A sample is illuminated to thereby generate a plurality of first interacted photons selected. The first interacted photons are assessed using a visible imaging device to thereby determine an area of interest in the sample. The area of interest is illuminated to thereby generate a plurality of second interacted photons. The second interacted photons are assessed using a spectroscopic device to thereby generate a SWIR data set representative of said area of interest. A database is searched wherein said database comprises a plurality of known SWIR data sets associated with an explosive material. The data sets comprise at least one of: a plurality of SWIR spectra and a plurality of spatially accurate wavelength resolved SWIR images. An explosive material in the area of interest is thereby identified as a result of the search.

Abstract: The present disclosure provides for a correction filter that may be configured to comprise a predetermined arrangement of thin film layers. This arrangement of thin film layers may be such that it effectively enables a correction filter to generate a predetermined spectral response, wherein said predetermined spectral response is substantially the same as a determined instrument response correction associated with an instrument. The invention of the present disclosure therefore provides for effectively compensating for transmission inefficiencies associated with an instrument without the need for separate reference measurements to determine and correct for instrument response.

Abstract: The present disclosure provides for a system and method for analyzing biological samples to thereby provide a diagnosis. A system may comprise an illumination source, a filter and a detector configured to generate at least one of: a visible data set representative of a biological sample, a SWIR data set representative of a biological sample, and combinations thereof.

Abstract: The present disclosure provides for a method for analyzing treated fingerprints on a document. A sample document is provided. A digital image of the sample document is obtained. The sample document is treated with a reagent and a hyperspectral image of the document is obtained. The hyperspectral image of the document is analyzed to determine a region of interest and a hyperspectal image is obtained of the region of interest. The present disclosure also provides for a system comprising a carrier frame, an imaging station for obtaining a digital image of the sample document, a first processing station for treating the document and a second processing station for developing the treated document, a second imaging station for obtaining a hyperspectral image of at least one of the document and a region of interest of the document, and a robotic subsystem for transporting the document through the system.

Abstract: System and method for determining a disease state of a sample. A sample is positioned in a field of view and a first spectroscopic data set is obtained. The positional information is stored and the sample is treated with a contrast enhancing agent. The sample is repositioned in the field of view and a digital image is obtained. The spectroscopic data is linked with the digital image and a database comprising representative spectroscopic data sets is searched to classify the disease state of the sample. The disclosure also provides for the step of obtaining a processed derivative image and searching a database comprising representative processed derivative images to classify a disease state of the sample.

Abstract: A system and method for performing multispectral color addition imaging. An optical image is obtained for a sample scene comprising one or more target materials. Spectroscopic data is obtained for one or more target materials. A first and second waveband of interest are obtained for one or more target materials. A ratio of the first and second wavebands of interest is obtained and compared to one or more ranges of threshold values. Based on this comparison, a result is displayed wherein this result comprises a pseudo color overlay on said optical image. The pseudo color image may comprise one or more pseudo colors assigned to one or more target materials so as to differentiate and identify the target materials present in the sample scene.

Abstract: A system and method for the deposition and analysis of a sample comprising exhaled particles. The sample may be deposited on a substrate and regions of interest comprising exhaled particles may be targeted using autofluorescence. Regions of interest comprising exhaled particles may then be interrogated to thereby generate a spectroscopic data set. This spectroscopic data set may be compared to a reference data set associated with at least one of the following: a known disease state, a known metabolic state, a known inflammatory state, a known immunologic state, a known infectious state, and combinations thereof.

Abstract: A method and a portable device for assessing the occurrence of an agent in a sample. A sample is illuminated with photons emanating from a portable device to produce photons reflected, emitted, or absorbed from a set of multiple points in the sample having a defined geometric relationship. The portable device is used to simultaneously illuminate the sample and analyze the photons reflected, emitted, or absorbed from the set of multiple points using spectroscopic methods, including infrared, fluorescence, and UV/visible. The agent assessed may include a hazardous agent, a chemical agent, a biological agent, a microorganism, a bacterium, a protozoan, a virus, and combinations thereof.

Abstract: A system and method for determining a disease state and clinical outcome of a sample. A sample is illuminated to produce Raman scattered photons, the Raman scattered photons are assessed to generate a Raman spectroscopic data set representative of the sample, wherein said Raman spectroscopic data set comprises at least one of: a Raman spectra of the sample and a spatially accurate wavelength resolved Raman image of the sample; the Raman spectroscopic data set is evaluated using a chemometric technique to classify the disease state of the sample as: acute, chronic, incipient, or none. In one embodiment, the chemontric technique is principle component analysis. In another embodiment, the sample is obtained prior to transplantation and analysis can determine the likelihood of rejection by a host.