Compensating motion and model inexactness in nano-CT and local tomography (B06)

• Subject Area: Statistical Physics, Nonlinear Dynamics, Complex Systems, Soft and Fluid Matter, Biological Physics ; Mathematics
• Term: since 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 432680300

X-ray tomographic imaging on the nano-scale is a challenging objective, since different types of object motion, aberrations in the direction of beam propagation, or the presence of material outside the region-of-interest affect the measured data. Neglecting these properties leads to an inexactness in the model. The aim of this project is an estimation of this model inexactness as well as the identification of motion directly from the data. Analytical, statistical and data-driven methods are combined to obtain efficient and stable reconstruction techniques.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1456: Mathematics of Experiment: The challenge of indirect measurements in the natural sciences
• Applicant Institution: Georg-August-Universität Göttingen
• Project Heads: Professor Dr. Tim Salditt; Professorin Dr. Anne Wald