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:
Jun. 01, 2021

Filed:

Nov. 13, 2017
Applicant:

Siemens Healthcare Diagnostics Inc., Tarrytown, NY (US);

Inventors:

Stefan Kluckner, Berlin, DE;

Shanhui Sun, Princton, NJ (US);

Yao-Jen Chang, Princeton, NJ (US);

Terrence Chen, Princeton, NJ (US);

Benjamin S. Pollack, Jersey City, NJ (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 35/00 (2006.01); G06T 7/11 (2017.01); B01L 9/00 (2006.01); G01N 21/27 (2006.01); G06T 7/00 (2017.01); G01J 3/10 (2006.01); G01N 21/25 (2006.01); G01J 3/28 (2006.01); G06T 5/50 (2006.01); G01B 11/00 (2006.01); G01B 11/06 (2006.01);
U.S. Cl.
CPC ...
G01N 35/00732 (2013.01); B01L 9/523 (2013.01); G01J 3/10 (2013.01); G01J 3/108 (2013.01); G01J 3/2823 (2013.01); G01N 21/25 (2013.01); G01N 21/27 (2013.01); G01N 35/00 (2013.01); G01N 35/00584 (2013.01); G01N 35/00603 (2013.01); G06T 5/50 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); B01L 2200/18 (2013.01); B01L 2300/021 (2013.01); B01L 2300/0609 (2013.01); G01B 11/00 (2013.01); G01B 11/06 (2013.01); G01J 2003/104 (2013.01); G01J 2003/106 (2013.01); G06T 2207/10144 (2013.01); G06T 2207/10152 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/30024 (2013.01);
Abstract

A method of characterizing a specimen for HILN (H, I, and/or L, or N). The method includes capturing images of the specimen at multiple different viewpoints, processing the images to provide segmentation information for each viewpoint, generating a semantic map from the segmentation information, selecting a synthetic viewpoint, identifying front view semantic data and back view semantic data for the synthetic viewpoint, and determining HILN of the serum or plasma portion based on the front view semantic data with an HILN classifier, while taking into account back view semantic data. Testing apparatus and quality check modules adapted to carry out the method are described, as are other aspects.


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