Complex imaging of phase domains by deep neural networks
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DOI: 10.1107/s2052252520013780
Abstract: Machine-learning approaches can greatly facilitate single-particle-imaging experiments at X-ray free-electron-laser facilities by providing real-time images from the coherent X-ray diffraction data stream, using methods presented in this article. read more here.
Keywords: deep neural; imaging phase; neural networks; domains deep ... See more keywords