Imaging and Data Science
The department "Imaging and Data Science" investigates the degradation behaviour of magnesium-based implants in vitro and ex vivo using high-resolution X-ray radiation. By developing automated methods for image processing, partially based on machine learning, the obtained data can be analysed efficiently. The resulting information enables the understanding and generalisation of the mechanisms of the material degradation and tissue response. Thus, computational models of the degradation process and cell growth are developed.