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 open-source PyNX toolkit has been extended to provide tools for coherent X-ray
imaging data analysis and simulation. All calculations can be executed on graphical …

We propose BinaryRelax, a simple two-phase algorithm, for training deep neural networks
with quantized weights. The set constraint that characterizes the quantization of weights is …

The structures as building blocks for designing functional nanomaterials have fueled the
development of versatile nanoprobes to understand local structures of noncrystalline …

Ultrafast photoinduced melting provides an essential platform for studying nonequilibrium
phase transitions by linking the kinetics of electron dynamics to ionic motions. Knowledge of …

We demonstrate that in situ coherent diffractive imaging (CDI), which leverages the coherent
interference between strong and weak beams to illuminate static and dynamic structures …

Conventional phase retrieval algorithms for coherent diffractive imaging (CDI) require many
iterations to deliver reasonable results, even using a known mask as a strong constraint in …

Recovering the phase of the Fourier transform is a ubiquitous problem in imaging
applications from astronomy to nanoscale X-ray diffraction imaging. Despite the efforts of a …

Machine learning is attracting surging interest across nearly all scientific areas by enabling
the analysis of large datasets and the extraction of scientific information from incomplete …

DNA molecules are atomic-scale information storage molecules that promote reliable
information transfer via fault-free repetitions of replications and transcriptions. Remarkable …