Alexandra Roesch

Title: Alexandra Roesch and Machine-Learning-Based Cell Analysis.

Introduction

Alexandra Roesch is an inventor associated with Martinsried, Germany, and Coriolis Pharma Research GmbH. Her patent work addresses the analysis of cell-based products using flow-imaging microscopy and machine learning.

Latest Patents

Roesch is named on one patent, “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 identify different types of particulate cell impurities in a cell-based product sample.

Career Highlights

Roesch’s patent reflects an application of artificial intelligence to pharmaceutical analysis. By automating the classification of microscopy images, the approach aims to support the assessment of cell-based products. She is associated with Coriolis Pharma Research GmbH.

Collaborations

Roesch’s listed coworker is Tim Menzen. The patent’s focus on image classification connects their professional context with research into analytical methods for cell-based products.

Conclusion

Alexandra Roesch’s patent work combines flow-imaging microscopy and convolutional neural networks to help detect viable cells and particulate impurities in cell-based products.