Recent years witnessed a proliferation of hard x-ray imaging instruments at the synchrotron and laboratory-based facilities that can provide resolutions down to few tens of nanometers. However, tomography at these fine scales is particularly challenging, because of the reduced photon efficiency, higher radiation doses, and inaccuracies of the stages, which leads to noisy and sparse datasets. In this talk, I will first give recent developments for scanning-based x-ray imaging and microscopy applications, and then describe how existing and new algorithmic approaches can be adopted to enable faster and reliable information extraction from complex multi-dimensional measurement data.

This presentation is part of Minisymposium “MS68 - Multi-channel image reconstruction approaches”
organized by: Jakob Jorgensen (University of Manchester) , Daniil Kazantsev (University of Manchester) .

Authors:

Doga Gursoy (Argonne National Laboratory)

Keywords:

computed tomography, image reconstruction, inverse problems