Patents by Inventor Tim Menzen

Tim Menzen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12725435
    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.
    Type: Grant
    Filed: April 8, 2022
    Date of Patent: September 1, 2026
    Assignee: Coriolis Pharma Research GmbH
    Inventors: Andrea Hawe, Tim Menzen, Adam Grabarek, Alexandra Roesch
  • Publication number: 20240127611
    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.
    Type: Application
    Filed: April 8, 2022
    Publication date: April 18, 2024
    Inventors: Andrea Hawe, Tim Menzen, Adam Grabarek, Alexandra Roesch