Chemimage Corporation

Jason Neiss

Patrick J Treado

Matthew P Nelson

John Maier

Robert Schweitzer

Joseph E Demuth

Charles W Gardner, Jr

G Steven Vanni

Chenhui Wang

Julianne Wolfe

Shona Stewart

Janice Panza

Hugh W Hubble, Ii

Patrick I Treado

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.

Spectroscopic systems and methods for classifying and pharmaceutically treating cells

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. The instrument-specific finer weight values may be applied to test data sets (or spectra) of an unknown material as well as to the library spectra from corresponding spectroscopic instruments. Instrument-specific weights for each class of samples may also be computed for additional customization and accuracy.

Forensic integrated search technology with instrument weight factor determination

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.

Time and space resolved standoff hyperspectral IED explosives LIDAR detector

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.

Method and apparatus for multimodal detection

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.

System and method for super resolution of a sample in a fiber array spectral translator system

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.

Method and apparatus for compact spectrometer for detecting hazardous agents

The disclosure relates to Method and Apparatus for Super Montage Large area Spectroscopic Imaging. In one embodiment of the disclosure, a method for producing a spectroscopic image of an object includes the steps of (a) irradiating the object with light to thereby produce from the object scattered and/or emitted (interchangeably 'scattered') light for each of a plurality of wavelengths; (b) producing separately for each of the plurality of wavelengths a plurality of substantially contiguous sub-images of the object; (c) compensating for spatial aberrations in ones of the sub-images for a select one of the plurality of wavelengths; (d) compensating for intensity aberrations between ones of the substantially contiguous sub-images for one of the plurality of wavelengths; and (e) combining the sub-images for the select one wavelength to thereby produce said spectroscopic image of the object.

Method and apparatus for super montage large area spectroscopic imaging

Time and space resolved standoff hyperspectral IED explosives LIDAR detection

Methods for detecting and classifying an unknown substance in a sample include the steps of (a) providing a spectrum for each of a predetermined number of reference substances; (b) detecting an area of interest that contains the unknown substance; (c) targeting the area of interest; (d) determining a spectrum of the unknown substance from the area of interest; (e) comparing the determined spectrum of the unknown substance with the spectrum of one or more of the reference substances; and (f) classifying the unknown substance based on the comparison of spectra. Systems for performing these methods include means for providing a spectrum for a predetermined number of reference substances, means for detecting an area of interest on a sample that contains an unknown substance to be classified, means for targeting this area of interest, means for determining a spectrum of the unknown substance in the area of interest, means for comparing this spectrum with the spectrum of one or more of the reference substances, and means for classifying the unknown substance based on the comparison of spectra.

A system and method to distinguish normal cells from apoptotic cells. A pre-determined vector space is selected where the vector space mathematically describes a first plurality of reference Raman data sets for normal cells and a second plurality of reference Raman data sets for apoptotic cells. A sample is irradiated with substantially monochromatic light generating a target Raman data set based on scattered photons. The target Raman data set is transformed into a vector space defined by the 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, apoptotic cells, and a combination of normal and apoptotic cells. The sample includes the step of treating the sample with a pharmaceutical agent prior to irradiating the sample. Based on the classification, the therapeutic efficiency of the pharmaceutical agent is assessed.

System and method for classifying cells and the pharmaceutical treatment of such cells using Raman spectroscopy

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.

Method and apparatus for compact spectrometer for multipoint sampling of an object

The invention relates to apparatus and methods for assessing occurrence of a hazardous agent in a sample by performing multimodal spectral analysis of the sample. Methods of employing Raman spectroscopy for entities in a sample which exhibit one or more optical properties characteristic of a hazardous agent are disclosed. Devices and systems suitable for performing such methods are also disclosed.

Multimodal method for identifying hazardous agents

The disclosure relates to Method and Apparatus for Super Montage Large area Spectroscopic Imaging. In one embodiment of the disclosure, a method for producing a spectroscopic image of an object includes the steps of (a) irradiating the object with light to thereby produce from the object scattered and/or emitted light for each of a plurality of wavelengths; (b) producing separately for each of the plurality of wavelengths a plurality of substantially contiguous sub-images of the object; (c) compensating for spatial aberrations in ones of the sub-images for a select one of the plurality of wavelengths; (d) compensating for intensity aberrations between ones of the substantially contiguous sub-images for one of the plurality of wavelengths; and (e) combining the sub-images for the select one wavelength to thereby produce said spectroscopic image of the object.

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.

System and method for image reconstruction in a fiber array spectral translator system

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.

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Pittsburgh, PA, United States of America

Jason Neiss