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Nanosurveyor : a framework for real-time data processing

Daurer, Benedikt J. (author)
Uppsala universitet,Molekylär biofysik
Krishnan, Hari (author)
Lawrence Berkeley National Laboratory, Computational Research Division
Perciano, Talita (author)
Lawrence Berkeley National Laboratory, Computational Research Division
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Rocha Neves Couto Maia, Filipe (author)
Uppsala universitet,Molekylär biofysik,Lawrence Berkeley National Laboratory, NERSC
Shapiro, David A. (author)
Lawrence Berkeley National Laboratory, Advanced Light Source
Sethian, James A. (author)
Lawrence Berkeley National Laboratory, Computational Research Division; University of California, Department of Mathematics
Marchesini, Stefano (author)
Lawrence Berkeley National Laboratory, Computational Research Division
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 (creator_code:org_t)
2017-01-31
2017
English.
In: Advanced Structural and Chemical Imaging. - : Springer Science and Business Media LLC. - 2198-0926. ; 3:7
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Background: The ever improving brightness of accelerator based sources is enabling novel observations and discov-eries with faster frame rates, larger fields of view, higher resolution, and higher dimensionality.Results: Here we present an integrated software/algorithmic framework designed to capitalize on high-throughput experiments through efficient kernels, load-balanced workflows, which are scalable in design. We describe the streamlined processing pipeline of ptychography data analysis.Conclusions: The pipeline provides throughput, compression, and resolution as well as rapid feedback to the micro-scope operators

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Streaming
Ptychography

Publication and Content Type

ref (subject category)
art (subject category)

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