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High Throughput Phase Retrieval
Mathematics of Data & DecisionsSpeaker: | Stefano Marchesini,, Lawrence Berkeley Lab |
Related Webpage: | https://sites.google.com/view/maddd |
Location: | Zoom |
Start time: | Tue, Apr 7 2020, 4:10PM |
Abstract: X ray scattering, diffraction, coherent imaging and related phase retrieval inverse problems are the main methods to solve protein structures using x-ray crystallography for drug discovery, to obtain the fastest images ever recorded at suboptical resolution or to achieve unprecedented resolutions with chemical specificity of microchip circuits, biological cells, nanomaterials for energy storage, photovoltaics, geological samples or stardust particles brought back from space. Diffraction based x-ray instruments enable nanometer resolution imaging with chemical and magnetic contrast over large fields of view or volumes. I will present an overview of the experimental schemes, phase retrieval algorithms, computational methods developed for high through-put imaging applications using state of the art x-ray sources, detectors and computing facilities.
ZOOM code can be obtained from deloera@math.ucdavis.edu