Chemimage Corporation

Chemimage Technologies LLC

Other

Chem Lmage Corporation

Chemimage Technologies, Lll

John Maier

Patrick J Treado

Shona Stewart

Jeffrey Cohen

Charles W Gardner, Jr

Matthew P Nelson

Robert Schweitzer

Jason Neiss

G Steven Vanni

Joseph E Demuth

David D Tuschel

Julianne Wolfe

Chenhui Wang

Janice Panza

Thomas Voigt

Lindy A McClelland

Juliane Wolfe

Ryan J Priore

David A Keller

Michael G Fuhrman

Amy J Drauch

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.

System and method for correcting spectral response using a radiometric correction filter

A method for generating an image of a sample that is informative of the disease state of a cell in the sample. A sample including the cell is irradiated with monochromatic light. The Raman scattered light is assessed. A digital brightfield image of the Raman scattered light is generated and combined with the Raman scattered light emitted by the cell whereby the Raman scattered light is informative of the disease state of the cell in the sample. The method can also be used to determine the metabolic activity of the cell, the inflammatory status of the cell and/or the infected status of the cell in the sample.

Cytological analysis by raman spectroscopic imaging

A system and method for providing an instrument response correction. A sample is illuminated to generate a first plurality and a second plurality of interacted photons. The first plurality of interacted photons may be detected by a dispersive spectrometer to generate a reference spectrum representative of the sample. The second plurality of interacted photons may be passed through a tunable filter and detected using an imaging detector to generate at least one hyperspectral image. This hyperspectral image may comprise a Raman hyperspectral image or an infrared hyperspectral image. A system may comprise an illumination source, a collection optics, a dispersive spectrometer, a fiber optic, a tunable filter, and an imaging detector.

System and method for instrument response correction based on independent measurement of the sample

The invention relates to methods and devices for assessing one or more components of a selected tissue in an animal. The present invention permits non-invasive assessment of tissue components in a body structure containing multiple tissue types by assessing multiple regions of the animal's body for an optical characteristic of the tissue of interest and separately assessing one or more optical (e.g., Raman or NIR) characteristics of the tissue component for one or more regions that exhibit the optical characteristic of the tissue of interest.

Invasive chemometry

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.

Raman chemical imaging of implantable drug delivery devices

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.

Method for analysis of pathogenic microorganisms using raman spectroscopic techniques

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

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.

System and method for classifying a disease state using representative data sets

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.

Raman characterization of transplant tissue

System and method for differentiating tissue margins in a biological sample using pulsed laser excitation and time-gated detection. A region containing a biological tissue is irradiated with substantially monochromatic pulsed laser light to thereby produce Raman scattered photons. The Raman scattered photons are detected using time-gated detection to thereby obtain a Raman spectroscopic image from the irradiated region characteristic of either a neoplastic portion or a non-neoplastic portion of the region containing the biological tissue. A boundary between a neoplastic portion and a non-neoplastic portion is differentiated and the boundary location in the Raman spectroscopic image is displayed.

System and method of chemical imaging using pulsed laser excitation and time-gated detection to determine tissue margins during surgery

A method to diagnosis a disease state of an unknown sample. A test Raman data set for an unknown sample is generated. A reference Raman database is provided where the database contains a plurality of reference Raman data sets and a plurality of reference Raman difference data sets. The reference Raman difference data set is generated by determining a difference between a first reference Raman data set and a second reference Raman data set. A first reference Raman data set is associated with first known sample and associated with one or more of: a first known disease state and a first known clinical outcome. A second reference Raman data set is associated with a second known sample and associated with one or more of: a second known disease state and a second known clinical outcome. A diagnosis is provided of whether the unknown sample has a first disease state or a second disease state by comparing the test Raman dataset to said plurality of reference Raman difference data sets in the reference Raman database using a chemometric technique.

Raman difference spectra based disease classification

A system and method for determining at least one of: a disease state, a metabolic state, a clinical outcome, and a disease progression of a test renal or prostate sample. A test Raman data set is obtained from the sample wherein said test Raman data set may comprise at least one of a plurality of Raman spectra and a plurality of spatially accurate wavelength resolved Raman images. The test Raman data set is compared to a plurality of reference Raman data sets using a chemometric technique. For analysis of renal samples, each of these reference Raman data sets may have an associated known renal sample and an associated known metabolic state, clinical outcome, and/or disease progression. For analysis of prostate samples, each of these reference Raman data sets may have an associated known prostate sample and an associated known disease state, metabolic state, clinical outcome, and/or disease progression.

System and method for analyzing biological samples using Raman molecular imaging

A system and method to provide a diagnosis of the breast disease state of a test breast sample. A database containing a plurality of reference Raman data sets is provided where each reference Raman data set has an associated known breast sample and an associated known breast disease state. A test breast sample is irradiated with substantially monochromatic light to generate scattered photons resulting in a test Raman data set. The test Raman data set is compared to the plurality of reference Raman data sets using a chemometric technique. Based on the comparison, a diagnosis of a breast disease state of the test breast sample is provided. The breast disease state includes invasive ductal carcinoma or invasive lobular carcinoma disease state.

Distinguishing between invasive ductal carcinoma and invasive lobular carcinoma using raman molecular imaging

A system and method to predict the progression of disease of a test sample. A group of known biological samples is provided. Each known biological sample has an associated known outcome including a non-diseased sample or a diseased sample. A Raman data set is obtained for each known biological sample. Each Raman data set is analyzed to identify a diseased or non-diseased reference Raman data set depending on whether respective biological sample is the non-diseased sample or the diseased sample. A first database is generated where the first database contains reference Raman data sets for all diseased samples. A second database is generated where the second database contains reference Raman data sets for all non-diseased samples. A test Raman data set of a test biological sample is received, where the test biological sample has an unknown disease status. A diagnostic is provided as to whether the test sample is a non-diseased sample or a diseased sample. The diagnostic is obtained by comparing the test Raman data set against the reference Raman data sets in the first and the second databases using a chemometric technique. A prediction of the progression of disease may be then provided.

Spectroscopic system and method for predicting outcome of disease

A spectroscopic method and system to identify a biofilm of a microorganism. A sample containing a sample microorganism is irradiated with substantially monochromatic radiation. A Raman data set is obtained based on radiation scattered from the irradiated sample. A database is searched in accordance with the Raman data set in order to identify a known Raman data set from the database. The database contains a plurality of known Raman data sets where each known Raman data set is associated with a known sessile form of a corresponding known microorganism. A sessile form of the sample microorganism is identified based on the known Raman data set identified by the searching.

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Pittsburgh, PA, United States of America

John Maier