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Nanosurveyor :
Nanosurveyor : a framework for real-time data processing
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- Daurer, Benedikt J. (author)
- Uppsala universitet,Molekylär biofysik
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- Krishnan, Hari (author)
- Lawrence Berkeley National Laboratory, Computational Research Division
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- 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
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- Shapiro, David A. (author)
- Lawrence Berkeley National Laboratory, Advanced Light Source
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- Sethian, James A. (author)
- Lawrence Berkeley National Laboratory, Computational Research Division; University of California, Department of Mathematics
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- Marchesini, Stefano (author)
- Lawrence Berkeley National Laboratory, Computational Research Division
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(creator_code:org_t)
- 2017-01-31
- 2017
- English.
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In: Advanced Structural and Chemical Imaging. - : Springer Science and Business Media LLC. - 2198-0926. ; 3:7
- Related links:
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https://uu.diva-port... (primary) (Raw object)
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Abstract
Subject headings
Close
- 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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