[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 …
structure of cells at the nanoscale is of great significance for cell biology. Coherent X-ray …
Neural network methods for radiation detectors and imaging
Recent advances in image data proccesing through deep learning allow for new
optimization and performance-enhancement schemes for radiation detectors and imaging …
optimization and performance-enhancement schemes for radiation detectors and imaging …
Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy
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 …
picosecond time resolutions, but these capabilities come with large volumes of data, which …
Efficient distributed continual learning for steering experiments in real-time
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 …
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
Scientific research increasingly relies on distributed computational resources, storage
systems, networks, and instruments, ranging from HPC and cloud systems to edge devices …
systems, networks, and instruments, ranging from HPC and cloud systems to edge devices …
Homomorphic data compression for real time photon correlation analysis
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 …
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
Compared to traditional neural networks, optical neural networks demonstrate significant
advantages in terms of information processing speed, energy efficiency, anti-interference …
advantages in terms of information processing speed, energy efficiency, anti-interference …
Automated defect identification in coherent diffraction imaging with smart continual learning
X-ray Bragg coherent diffraction imaging is a powerful technique for 3D materials
characterization. However, obtaining X-ray diffraction data is difficult and computationally …
characterization. However, obtaining X-ray diffraction data is difficult and computationally …
Predicting ptychography probe positions using single-shot phase retrieval neural network
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 …
materials science, biology, and nanotechnology. However, the accuracy of the reconstructed …
Considerations about future hard x-ray area detectors
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 …
new ways to analyze the structure and properties of matter, provided that the resultant x-ray …