[HTML][HTML] Coherent diffraction imaging of cells at advanced X-ray light sources

J Fan, J Zhang, Z Liu - TrAC Trends in Analytical Chemistry, 2024 - Elsevier
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 …

Neural network methods for radiation detectors and imaging

S Lin, S Ning, H Zhu, T Zhou, CL Morris… - Frontiers in …, 2024 - frontiersin.org
Recent advances in image data proccesing through deep learning allow for new
optimization and performance-enhancement schemes for radiation detectors and imaging …

Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy

S Kandel, T Zhou, AV Babu, Z Di, X Li, X Ma… - Nature …, 2023 - nature.com
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 …

Efficient distributed continual learning for steering experiments in real-time

T Bouvier, B Nicolae, A Costan, T Bicer, I Foster… - Future Generation …, 2025 - Elsevier
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 …

Octopus: Experiences with a hybrid event-driven architecture for distributed scientific computing

H Pan, R Chard, S Zhou, A Kamatar, R Vescovi… - arXiv preprint arXiv …, 2024 - arxiv.org
Scientific research increasingly relies on distributed computational resources, storage
systems, networks, and instruments, ranging from HPC and cloud systems to edge devices …

Homomorphic data compression for real time photon correlation analysis

S Strempfer, ZW Di, K Yoshii, Y Cao, Q Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

Optical Fourier convolutional neural network with high efficiency in image classification

Y Liu, J Qin, Y Liu, Y Liu, X Liu, F Ye, W Li - Optics Express, 2024 - opg.optica.org
Compared to traditional neural networks, optical neural networks demonstrate significant
advantages in terms of information processing speed, energy efficiency, anti-interference …

Automated defect identification in coherent diffraction imaging with smart continual learning

O Yildiz, K Raghavan, H Chan, MJ Cherukara… - Neural Computing and …, 2024 - Springer
X-ray Bragg coherent diffraction imaging is a powerful technique for 3D materials
characterization. However, obtaining X-ray diffraction data is difficult and computationally …

Predicting ptychography probe positions using single-shot phase retrieval neural network

M Du, T Zhou, J Deng, DJ Ching, S Henke… - Optics …, 2024 - opg.optica.org
Ptychography is a powerful imaging technique that is used in a variety of fields, including
materials science, biology, and nanotechnology. However, the accuracy of the reconstructed …

Considerations about future hard x-ray area detectors

SM Gruner, G Carini, A Miceli - Frontiers in Physics, 2023 - frontiersin.org
X-ray sources continue to advance in both intensity and temporal domains, thereby opening
new ways to analyze the structure and properties of matter, provided that the resultant x-ray …