Tim Menzen

Title: Tim Menzen and Machine-Learning-Based Cell Analysis.

Introduction

Tim Menzen is an inventor based in Martinsried, Germany. His patent work concerns the use of machine learning to analyze cell-based product samples and identify viable cells and particulate impurities.

Latest Patents

Menzen is associated with one patent, titled “FIM-CNN for Detection of Viable Cells and/or Particulate Impurities.” The disclosed method uses a convolutional neural network trained on classified flow-imaging microscopy images to quantify viable cells and distinguish them from different types of impurities in a cell-based product sample. 1 patent.

Career Highlights

Menzen works at Coriolis Pharma Research GmbH. His patent reflects an application of image classification technology to the analysis of cell-based products.

Collaborations

His named coworkers include Alexandra Roesch and Andrea Hawe. The patent’s described approach combines flow-imaging microscopy with a trained neural network for cell and impurity classification.

Conclusion

Tim Menzen’s patent work highlights how machine learning can support the detection and quantification of viable cells and particulate impurities in cell-based product samples.