HIGHLIGHTS
- who: Deutsches Elektronen-Synchrotron DESY and collaborators from the 5, Germany, and bMid-Sweden University have published the article: Data reduction for X-ray serial crystallography using machine learning, in the Journal: (JOURNAL)
- what: In this work, the goal is to build a data reduction method for serial crystallography that is computationally cheaper and less reliant on parameters. The authors propose a novel mechanism to detect and identify key points representing u2018some` Bragg peaks in diffraction patterns. The authors propose a pipeline with four main components consisting of feature extraction, representing extracted features using the . . .
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