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:
Sep. 01, 2026
Filed:
Apr. 08, 2022
Applicant:
Coriolis Pharma Research Gmbh, Martinsried, DE;
Inventors:
Andrea Hawe, Martinsried, DE;
Tim Menzen, Martinsried, DE;
Adam Grabarek, Martinsried, DE;
Alexandra Roesch, Martinsried, DE;
Assignee:
Coriolis Pharma Research GmbH, Martinsried, DE;
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/69 (2022.01); G01N 1/30 (2006.01); G01N 15/01 (2024.01); G01N 15/10 (2006.01); G01N 15/1433 (2024.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01);
U.S. Cl.
CPC ...
G06V 20/698 (2022.01); G01N 1/30 (2013.01); G01N 15/01 (2024.01); G01N 15/1023 (2024.01); G01N 15/1433 (2024.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01); G01N 2015/1006 (2013.01); G06V 2201/03 (2022.01);
Abstract
The disclosure presented herein provides methods for quantifying viable cells and particulate cell impurities in a cell-based product sample. The method is implemented on a convolutional neural network (CNN) that learns to classify flow-imaging microscopy (FIM) images. The CNN learning is accomplished by using a training set of classified images of viable cells and different types of impurities.