Amy J Drauch

US Patent:

20080273199, Nov 6, 2008

Filed:

Feb 14, 2008

Appl. No.:

12/070010

Inventors:

John Maier - Pittsburgh PA, US
Jeffrey Cohen - Pittsburgh PA, US
Janice L. Panza - Pittsburgh PA, US
Amy J. Drauch - Carnegie PA, US

International Classification:

G01J 3/44

US Classification:

356301

Abstract:

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.

US Patent:

20120078524, Mar 29, 2012

Filed:

Jul 29, 2011

Appl. No.:

13/136366

Inventors:

Shona Stewart - Pittsburgh PA, US
Jeffrey Cohen - Pittsburgh PA, US
Amy Drauch - Carnegie PA, US
John Maier - Pittsburgh PA, US

Assignee:

Chemlmage Corporation - Pittsburgh PA

International Classification:

G01N 33/48
G01N 21/64
G01J 3/44

US Classification:

702 19, 356 72, 356301

Abstract:

A system and method for determining a diagnosis of a test biological sample. A system comprising a first illumination source to illuminate a sample, a first detector for generating a fluorescence data set of said sample, a means for determining a region of interest, a second illumination source to illuminate said region of interest, a second detector to generate a Raman data set of said region of interest, and a means for determining a diagnosis of said sample. A method comprising illuminating a sample, generating a fluorescence data set of said sample, and assessing the fluorescence data set to identify a region of interest, illuminating a region of interest, and generating Raman data set. This Raman data set may be assessed to determine a diagnosis of the sample. A diagnosis may include a metabolic state, a clinical outcome, a disease progression, a disease state, and combinations thereof.

US Patent:

20120083678, Apr 5, 2012

Filed:

Sep 30, 2011

Appl. No.:

13/200779

Inventors:

Amy Drauch - Carnegie PA, US
John Maier - Pittsburgh PA, US

Assignee:

ChemImage Corporation - Pittsburgh PA

International Classification:

A61B 5/1455
G06F 19/00
G01J 3/44

US Classification:

600310, 356301, 702 19

Abstract:

The present disclosure provides for a system and method for diagnosing biological samples that combines the visual staining features familiar to pathologists with the accurate, reliable, and nondestructive capabilities of Raman chemical imaging. The invention disclosed herein may be applied to diagnose lung cancer samples. A method may comprise illuminating a biological sample to generate interacted photons, filtering said interacted photons using a tunable filter, and detecting interacted photons to generate a test Raman data set representative of said sample. The method may further comprise applying at least one chemometric technique and/or a digital stain to said test Raman data set. This test Raman data set may be analyzed to diagnose said sample as comprising at least one of: adenocarcinoma, mesothelioma, and combinations thereof. A system may comprise an illumination source, a tunable filter, and a detector configured to generate a test Raman data set representative of a biological sample.