The IT department provides the infrastructure and services enabling applications in artificial inteliigence throughout the campus, but also is actively involved in various projects and activities. Applications developed include semantic and instance segmentation in material science or image classification in FEL research.

Contacts

To get in touch with the information-technology team, please contact Philipp Heuser or Frank Schluenzen

Team Members

  1. Philipp Heuser
  2. Frank Schluenzen

Related projects

Recent publications

  1. PickYOLO: Fast deep learning particle detector for annotation of cryo electron tomograms: Erik Genthe et al. et al., Journal of Structural Biology, doi: 10.1016/j.jsb.2023.107990
  2. An active learning approach for the interactive and guided segmentation of tomography data: Bashir Kazimi et al., SPIE Optical Engineering + Applications, doi: 10.1117/12.2637973
  3. High-resolution ex vivo analysis of the degradation and osseointegration of Mg-xGd implant screws in 3D: Diana Krüger et al., Bioactive Materials, doi: 10.1016/j.bioactmat.2021.10.041
  4. Scaling the U-net: segmentation of biodegradable bone implants in high-resolution synchrotron radiation microtomograms: Ivo M. Baltruschat et al., Sci Rep, doi: 10.1038/s41598-021-03542-y
  5. The XBI BioLab for life science experiments at the European XFEL: Huijong Han et al., J Appl Cryst, doi: 10.1107/S1600576720013989