119 citations · 582 across the 25 of their papers we have counts for
3 papers · 1 filter
Three-dimensional Coherent X-ray Diffraction Imaging via Deep Convolutional Neural Networks
Longlong Wu, Shinjae Yoo, Ana F. Suzana +5
As a critical component of coherent X-ray diffraction imaging (CDI), phase retrieval has been extensively applied in X-ray structural science to recover the 3D morphological inform…
Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning
Henry Chan, Youssef S. G. Nashed, Saugat Kandel +4
Phase retrieval, the problem of recovering lost phase information from measured intensity alone, is an inverse problem that is widely faced in various imaging modalities ranging fr…
Real-time sparse-sampled Ptychographic imaging through deep neural networks
Mathew J. Cherukara, Tao Zhou, Youssef Nashed +4
Ptychography has rapidly grown in the fields of X-ray and electron imaging for its unprecedented ability to achieve nano or atomic scale resolution while simultaneously retrieving…