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. 21, 2022

Filed:

Jul. 02, 2020
Applicant:

Euroimmun Medizinische Labordiagnostika Ag, Luebeck, DE;

Inventors:

Jens Krauth, Luebeck, DE;

Christopher Krause, Buechen, DE;

Joern Voigt, Luebeck, DE;

Melanie Hahn, Stockelsdorf, DE;

Christian Marzahl, Erlangen, DE;

Stefan Gerlach, Gross Groenau, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G01N 15/10 (2006.01); G06N 3/04 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G01N 15/1056 (2013.01); G06N 3/04 (2013.01); G06T 7/11 (2017.01); G06T 7/70 (2017.01); G01N 2015/1006 (2013.01); G06T 2207/10064 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01);
Abstract

A method is for detecting respective potential presence of respective different antinuclear antibody fluorescence pattern types on a biological cell substrate including human epithelioma cells, including: acquiring a first image which represents staining of the cell substrate by a first fluorescent dye, and acquiring a second image which represents staining of the cell substrate by a second fluorescent dye, detecting, on the basis of the first image, respective image segments which in each case represent at least one mitotic cell, selecting, on the basis of the detected image segments, subimages of the first image and subimages corresponding thereto of the second image and detecting, on the basis of the selected subimages of the first image and of the selected subimages of the second image, respective actual presence of respective cellular fluorescence pattern types by means of a convolutional neural network.


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