The Helmholtz-Zentrum Hereon is operating imaging beamlines for X-ray tomography (P05 IBL, P07 HEMS) for academic and industrial users at the synchrotron radiation source PETRA III at DESY in Hamburg, Germany. The high X-ray flux density and coherence of synchrotron radiation enables high-resolution in situ/operando/vivo tomography experiments and provides phase contrast, respectively. Large amounts of 3D/4D data are collected that are difficult to process and analyze. Here, we report on the application of machine learning for image segmentation including a guided interactive framework, multimodal data analysis (virtual histology), image enhancement (denoising), and self-supervised learning for phase retrieval.
Hard X-ray nanotomography is a commonly used tool in many research areas such as material science, biology and medicine. The nanotomography station at the P05 imaging beamline at PETRA III at DESY is operated by the Helmholtz-Zentrum Hereon and optimized for full-field X-ray nanoimaging techniques. It offers spatial resolutions down to below 50 nm, as well as a high temporal resolution. The technical design allows for a high flexibility and is optimized for in situ experiments. The two major full-field techniques offered to the user community are transmission X-ray microscopy with optionally Zernike phase contrast and near-field holography. Here, the different full-field nanoimaging techniques, as well as the latest technical developments are presented.
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