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:
Nov. 25, 2025

Filed:

Dec. 21, 2021
Applicant:

Euroimmun Medizinische Labordiagnostika Ag, Lübeck, DE;

Inventors:

Jens Krauth, Lübeck, DE;

Stefan Gerlach, Groß Groenau, DE;

Christian Marzahl, Erlangen, DE;

Christopher Krause, Büchen, DE;

Jens Hocke, Luebeck, DE;

Melanie Hahn, Stockelsdorf, DE;

Joern Voigt, Luebeck, DE;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01N 31/00 (2006.01); G01N 21/64 (2006.01); G01N 33/53 (2006.01); G01N 33/58 (2006.01); G06N 3/045 (2023.01); G06T 7/00 (2017.01); G06T 7/11 (2017.01); G06T 7/62 (2017.01);
U.S. Cl.
CPC ...
G01N 21/6458 (2013.01); G01N 21/6486 (2013.01); G01N 33/582 (2013.01); G06N 3/045 (2023.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/62 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/10064 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01);
Abstract

A method for detecting a potential presence of a fluorescence pattern type on an organ section via immunofluorescence microscopy and digital image processing, the method comprising: providing an organ section on a slide, incubating the section with a liquid patient sample potentially including primary antibodies and secondary antibodies labelled with a fluorescent dye, acquiring a fluorescence image of the organ section, determining, by segmentation of the fluorescence image via a first neural network, a sub-area of the fluorescence image relevant to formation of the fluorescence pattern type, determining, via a second neural network, the measure of confidence indicating an actual presence of the fluorescence pattern type, determining, validity information indicating a degree of a validity of the measure of confidence, and outputting the measure of confidence of the actual presence of the fluorescence pattern type and of the validity information.


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