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.
Patent No.:
Date of Patent:
Jul. 07, 2026
Filed:
Sep. 29, 2023
Euroimmun Medizinische Labordiagnostika Ag, Lübeck, DE;
Jens Hocke, Lübeck, DE;
Jens Krauth, Lübeck, DE;
Stefan Gerlach, Lübeck, DE;
Christopher Krause, Lübeck, DE;
Melanie Hahn, Lübeck, DE;
Jörn Voigt, Lübeck, DE;
Enno Schmidt, Lübeck, DE;
Nina Van Beek, Lübeck, DE;
EUROIMMUN Medizinische Labordiagnostika AG, Lübeck, DE;
Abstract
A method is proposed for detecting at least one fluorescence pattern on an immunofluorescence image of a biological cell substrate, comprising the following steps: incubating the cell substrate with a liquid patient sample, which potentially includes primary antibodies, and furthermore with secondary antibodies, which are marked using a fluorescence stain, irradiating the cell substrate using excitation radiation and capturing the immunofluorescence image, determining segmentation information comprising at least one first and one second segmentation area, wherein the segmentation areas each represent a respective cell substrate area, via segmentation of the immunofluorescence image using a first neural network, determining a boundary area, which represents a transition from the first cell substrate area towards the second cell substrate area in the fluorescence image, on the basis of the segmentation information, selecting multiple partial images from the immunofluorescence image along the boundary area, determining a confidence measure of a presence of the fluorescence pattern on the basis of the multiple partial images via a second neural network.