Description

Leader of the group Computational Imaging: Joost Batenburg.

Our research group is developing the next generation of 3D imaging – enabling scientists to look further into objects of all kinds. Based on mathematics, algorithms and numerical solution techniques, our approach is interdisciplinary, combining aspects of mathematics, computer science and physics. We pride ourselves on the versatility of our solutions, and our algorithms can be applied to a wide range of imaging in science, medicine and industry. In Computational Imaging, it’s our goal to constantly push the boundaries of research. By combining advanced image acquisition, parameter estimation, and discrete tomography algorithms for example, we are able to develop workflows for 3D electron microscopy at atomic resolution.

 

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Current projects with external funding

  • Mathematics and Algorithms for 3D Imaging of Dynamic Processes
  • Non-destructive 3D spectral imaging: applications in the poultry industry
  • Real-Time 3D Tomography
  • The See-Through Museum
  • Automated multi-modal tomography for sub-22nm IC nodes (AMTIC)
  • MUltiscale, Multimodal and Multidimensional imaging for EngineeRING (MUMMERING)
  • Volumetric medical x-ray imaging at extremely low dose (VOXEL)

Related partners

  • Centre National de la Recherche Scientifique (CNRS), Gif-sur-Yvette, France
  • CNR Pisa
  • COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
  • IMAGINE OPTIC
  • Meyn Food Processing Technology B.V.
  • Universidad Politécnica de Madrid
  • FEI
  • IMEC
  • Technische Universiteit Delft