Tootfinder

Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram
Xiaogang Yang (NSLS-II, Brookhaven National Laboratory, Upton, USA), Dawit Hailu (Institute of Materials Physics, Helmholtz-Zentrum Hereon, Geesthacht, Germany), Vojt\v{e}ch Kulvait (Institute of Materials Physics, Helmholtz-Zentrum Hereon, Geesthacht, Germany), Thomas Jentschke (Institute of Materials Physics, Helmholtz-Zentrum Hereon, Geesthacht, Germany), Silja Flenner (Institute of…

Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram
X-ray phase contrast imaging significantly improves the visualization of structures with weak or uniform absorption, broadening its applications across a wide range of scientific disciplines. Propagation-based phase contrast is particularly suitable for time- or dose-critical in vivo/in situ/operando (tomography) experiments because it requires only a single intensity measurement. However, the phase information of the wave field is lost during the measurement and must be recovered. Conventional…