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:
Feb. 09, 2021

Filed:

Feb. 15, 2019
Applicant:

The Regents of the University of Michigan, Ann Arbor, MI (US);

Inventors:

Ivaylo Dinov, Ann Arbor, MI (US);

Brian D. Athey, Ypsilanti, MI (US);

David S. Dilworth, Ann Arbor, MI (US);

Ari Allyn-Feuer, Ypsilanti, MI (US);

Alexandr Kalinin, Ann Arbor, MI (US);

Alex S. Ade, Ann Arbor, MI (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G01N 1/30 (2006.01); G06T 7/62 (2017.01); G06T 7/50 (2017.01);
U.S. Cl.
CPC ...
G06K 9/00147 (2013.01); G01N 1/30 (2013.01); G06K 9/0014 (2013.01); G06K 9/00201 (2013.01); G06K 9/46 (2013.01); G06K 9/626 (2013.01); G06K 9/6269 (2013.01); G06K 9/6276 (2013.01); G06K 9/6277 (2013.01); G06K 9/6286 (2013.01); G06T 7/50 (2017.01); G06T 7/62 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30242 (2013.01);
Abstract

The ability to automate the processes of specimen collection, image acquisition, data pre-processing, computation of derived biomarkers, modeling, classification and analysis can significantly impact clinical decision-making and fundamental investigation of cell deformation. This disclosure combine 3D cell nuclear shape modeling by robust smooth surface reconstruction and extraction of shape morphometry measure into a highly parallel pipeline workflow protocol for end-to-end morphological analysis of thousands of nuclei and nucleoli in 3D. This approach allows efficient and informative evaluation of cell shapes in the imaging data and represents a reproducible technique that can be validated, modified, and repurposed by the biomedical community. This facilitates result reproducibility, collaborative method validation, and broad knowledge dissemination.


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