26 citations · 33 across the 6 of their papers we have counts for
6 papers
Predicting ptychography probe positions using single-shot phase retrieval neural network
Ming Du, Tao Zhou, Junjing Deng +3
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 reconstruct…
AI-assisted Automated Workflow for Real-time X-ray Ptychography Data Analysis via Federated Resources
Anakha V Babu, Tekin Bicer, Saugat Kandel +7
We present an end-to-end automated workflow that uses large-scale remote compute resources and an embedded GPU platform at the edge to enable AI/ML-accelerated real-time analysis o…
Deep learning at the edge enables real-time streaming ptychographic imaging
Anakha V Babu, Tao Zhou, Saugat Kandel +15
Coherent microscopy techniques provide an unparalleled multi-scale view of materials across scientific and technological fields, from structural materials to quantum devices, from…
High-Performance Ptychographic Reconstruction with Federated Facilities
Tekin Bicer, Xiaodong Yu, Daniel J. Ching +5
Beamlines at synchrotron light source facilities are powerful scientific instruments used to image samples and observe phenomena at high spatial and temporal resolutions. Typically…
Scalable and accurate multi-GPU based image reconstruction of large-scale ptychography data
Xiaodong Yu, Viktor Nikitin, Daniel J. Ching +3
While the advances in synchrotron light sources, together with the development of focusing optics and detectors, allow nanoscale ptychographic imaging of materials and biological s…
Evaluation of modified uniformly redundant arrays as structured illuminations for ptychography
Daniel J. Ching, Selin Aslan, Viktor Nikitin +2
Previous studies have shown that the frequency content of an illumination affects the convergence rate and reconstruction quality of ptychographic reconstructions. In this numerica…