Imaging & OMICS

The Imaging & OMICS group focuses on developing methods to link clinical imaging data to high-dimensional molecular data across different spatial scales to produce new insights about structure and function of tissues.

Our aim is to discover associations between imaging data, and single-cell and multiplexed spatial observations.  We develop computational algorithms and data visualization technologies to cross-link imaging data and high-throughput “omics” data through spatially-localized molecular data, such as atlases of the Allen Institute for Brain Science. We specialize in highly interactive, low-latency dimensionality reduction methods for on-the-fly visual analytics, in close collaboration with Delft University of Technology, in the context of Medical Delta program “AI for Computational Life Science”.

 

 

 

 

 

 

 

 

 

 

Current projects and software:

Our Team members

  • Boudewijn P.F. Lelieveldt, Team lead
  • Baldur van Lew, Scientific Software Engineer
  • Jeroen Eggermont, Senior researcher
  • Thomas Kroes, Scientific Software Engineer
  • Julian Thijssen, Scientific Software Engineer
  • Alexander Vieth, PhD student (TUD + LUMC)
  • Chang Li, PhD student
  • Soumyadeep Basu, PhD student (LUMC + TUD)
  • Thomas Höllt, Assistant Professor, guest faculty from TU Delft