8 citations · 16 across the 9 of their papers we have counts for
5 papers · 1 filter
Self-supervised physics-informed generative networks for phase retrieval from a single X-ray hologram
Xiaogang Yang, Dawit Hailu, Vojtěch Kulvait +8
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 d…
ContextLoss: Context Information for Topology-Preserving Segmentation
Benedict Schacht, Imke Greving, Simone Frintrop +2
In image segmentation, preserving the topology of segmented structures like vessels, membranes, or roads is crucial. For instance, topological errors on road networks can significa…
Directional Dark Field for Nanoscale Full-Field Transmission X-Ray Microscopy
Sami Wirtensohn, Silja Flenner, Dominik John +12
Dark-field X-ray imaging visualizes structural inhomogeneities through small-angle scattering, but existing directional methods are confined to the micrometer scale. While recent a…
3D evolution of protein networks and lipid globules in heat-treated egg yolk
Felix Wittwer, Nimmi Das Anthuparambil, Frederik Unger +5
Upon heating, egg yolk transforms from a liquid to a gel due to protein denaturation. This process can serve as a useful model to better understand protein denaturation in general.…
An ontology-based description of nano computed tomography measurements in electronic laboratory notebooks: from metadata schema to first user experience
Fabian Kirchner, D. C. Florian Wieland, Sarah Irvine +12
In recent years, the importance of well-documented metadata has been discussed increasingly in many research fields. Making all metadata generated during scientific research availa…