Unveiling nanostructures: X-ray mapping in 3D and beyond through computational imaging

Access to local information about material composition and its 3D distribution and anisotropy at the nanoscale is of chief importance for studying functional hierarchical materials, for example in biology, materials science, and energy research. X-rays offer unique opportunities to probe nanostructure in a minimally intrusive, and non-destructive, procedure. In order to reach the highest resolution and quality, computational imaging techniques play an increasingly important role, due to limitations in X-ray optics or the need to reconstruct hyperdimensional images from 2D data. I will showcase the basics and potential of computational X-ray imaging, with details of the mathematical inversion procedure.

Bio
Manuel received his Ph.D. from the Institute of Optics in Rochester NY in 2010. Afterwards he joined as a scientist the Coherent X-ray Scattering group, which manages and develops the cSAXS beamline, Swiss Light Source, Paul Scherrer Institute. In 2023 Manuel was appointed Associate Professor of Physics in EPF Lausanne and head of the Computational X-ray Imaging group in PSI. Manuel has been twice co-recipient of the Innovation Award on Synchrotron Radiation for 2014 and 2020. He was awarded the prestigious 2019 ICO Prize by the International Commission for Optics and was elected as an Optica Fellow in 2021 and SPIE Fellow in 2022.