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SHARP: a distributed GPU-based ptychographic solver
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology, Molecular biophysics.ORCID iD: 0000-0002-1887-7551
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2016 (English)In: Journal of Applied Crystallography, Vol. 49, no 4Article in journal (Refereed) PublishedText
Abstract [en]

Ever brighter light sources, fast parallel detectors and advances in phase retrieval methods have made ptychography a practical and popular imaging technique. Compared to previous techniques, ptychography provides superior robustness and resolution at the expense of more advanced and time-consuming data analysis. By taking advantage of massively parallel architectures, high-throughput processing can expedite this analysis and provide microscopists with immediate feedback. These advances allow real-time imaging at wavelength-limited resolution, coupled with a large field of view. This article describes a set of algorithmic and computational methodologies used at the Advanced Light Source and US Department of Energy light sources. These are packaged as a CUDA-based software environment named SHARP (http://camera.lbl.gov/sharp), aimed at providing state-of-the-art high-throughput ptychography reconstructions for the coming era of diffraction-limited light sources.

Place, publisher, year, edition, pages
2016. Vol. 49, no 4
Keyword [en]
coherent X-ray diffractive imaging, ptychography, nanoscience, X-ray microscopy, phase-contrast X-ray imaging
National Category
Atom and Molecular Physics and Optics
URN: urn:nbn:se:uu:diva-300178DOI: 10.1107/S1600576716008074OAI: oai:DiVA.org:uu-300178DiVA: diva2:950992
Available from: 2016-08-04 Created: 2016-08-04 Last updated: 2016-08-05

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Publisher's full texthttp://dx.doi.org/10.1107/S1600576716008074

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Daurer, Benedikt J.
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