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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. Click to show full 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.
Keywords:
deep neural;
imaging phase;
neural networks;
domains deep;
complex imaging;
phase domains
Journal Title: IUCrJ
Year Published: 2021
Link to full text (if available)
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Journal Title: IUCrJ
Year Published: 2021
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!