Recent advances in image data proccesing through deep learning allow for new
optimization and performance-enhancement schemes for radiation detectors and imaging …

Finding quantitative descriptors representing the microstructural features of a given material
is an ongoing research area in the paradigm of Materials-by-Design. Historically, the …

Modern scanning microscopes can image materials with up to sub-atomic spatial and sub-
picosecond time resolutions, but these capabilities come with large volumes of data, which …

Deep learning has emerged as a powerful method for extracting valuable information from
large volumes of data. However, when new training data arrives continuously (ie, is not fully …

In this paper we demonstrate direct data streaming from instruments and detectors at a large-
scale experimental facility to a supercomputer for real-time data processing and feedback …

The complex cellular structures maintain the biological activities of cells. Revealing the
structure of cells at the nanoscale is of great significance for cell biology. Coherent X-ray …

The construction of highly coherent x-ray sources has enabled new research opportunities
across the scientific landscape. The maximum raw data rate per beamline now exceeds 40 …

Microscopy and crystallography are two essential experimental methodologies for
advancing modern science. They complement one another, with microscopy typically relying …

Compared to traditional neural networks, optical neural networks demonstrate significant
advantages in terms of information processing speed, energy efficiency, anti-interference …

X-ray ptychography, a scanning coherent diffraction imaging technique, is one of the most
used techniques at synchrotron facilities for high resolution imaging, with applications …