The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 08, 2017

Filed:

Jan. 19, 2016
Applicant:

Purdue Research Foundation, West Lafayette, IN (US);

Inventors:

David D. Nolte, Lafayette, IN (US);

John J. Turek, West Lafayette, IN (US);

Ran An, West Lafayette, IN (US);

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 5/00 (2006.01); G01B 9/02 (2006.01); G01N 21/47 (2006.01); G06T 7/00 (2017.01); G02B 21/14 (2006.01); G02B 21/36 (2006.01);
U.S. Cl.
CPC ...
A61B 5/0066 (2013.01); G01B 9/02087 (2013.01); G01B 9/02091 (2013.01); G01N 21/4795 (2013.01); G02B 21/14 (2013.01); G02B 21/365 (2013.01); G06T 7/0012 (2013.01); G06T 2207/30024 (2013.01);
Abstract

In a method for ex vivo evaluation of tissue response, a target biological sample is placed in a chamber of a sample holder. Biodynamic imaging (BDI) is performed on the sample to extract BDI data of the entire sample, optical coherence imaging (OCI) data is generated from the BDI data; and then motility contrast imaging (MCI) data is generated from the OCI data. The MCI data is used to select an area of the ex vivo sample having the highest normalized standard deviation (NSD) value, indicative of a region of desirable responsiveness to a stimuli. The sample is subjected to a perturbation or external condition and an MCI analysis is performed on the selected area to determine the tissue response to the perturbation or external condition. In one aspect, the selected area or region of interest is obtained using a gradient descent method.


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