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Stylianos Petrakis, Alexandros Skoulakis, Yannis Orphanos, Anastasios Grigoriadis, Georgia Andrianaki, Dimitrios Louloudakis, Nathanail Kortsalioudakis, Athanasios Tsapras, Costas Balas, Dimitrios Zouridis, Efthymios Pachos, Makis Bakarezos, Vasilios Dimitriou, Michael Tatarakis, Emmanouil P. Benis and Nektarios A. Papadogiannis
The rapid growth of nanotechnology has increased the need for fast nanoscale imaging. X-ray free electron laser (XFEL) facilities currently provide such coherent sources of directional and high-brilliance X-ray radiation. These facilities require large f...
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Jong Woo Kim, Marc Messerschmidt and William S. Graves
We present a supervised deep neural network model for phase retrieval of coherent X-ray imaging and evaluate the performance. A supervised deep-learning-based approach requires a large amount of pre-training datasets. In most proposed models, the various...
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Jong Woo Kim, Marc Messerschmidt and William S. Graves
We present a deep learning-based generative model for the enhancement of partially coherent diffractive images. In lensless coherent diffractive imaging, a highly coherent X-ray illumination is required to image an object at high resolution. Non-ideal ex...
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Zhibin Sun, Jiadong Fan, Haoyuan Li and Huaidong Jiang
The advent of ultrafast X-ray free-electron lasers (XFELs) opens the tantalizing possibility of the atomic-resolution imaging of reproducible objects such as viruses, nanoparticles, single molecules, clusters, and perhaps biological cells, achieving a re...
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