Nanosurveyor: a framework for real-time data processing

Nanosurveyor : a framework for real-time data processing

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

Krishnan, HariLawrence Berkeley National Laboratory, Computational Research Division (författare)
Perciano, TalitaLawrence Berkeley National Laboratory, Computational Research Division (författare)
Rocha Neves Couto Maia, FilipeUppsala universitet,Molekylär biofysik,Lawrence Berkeley National Laboratory, NERSC(Swepub:uu)fimai103 (författare)
Shapiro, David A.Lawrence Berkeley National Laboratory, Advanced Light Source (författare)
Sethian, James A.Lawrence Berkeley National Laboratory, Computational Research Division; University of California, Department of Mathematics (författare)
Marchesini, StefanoLawrence Berkeley National Laboratory, Computational Research Division (författare)
Uppsala universitetMolekylär biofysik (creator_code:org_t)

Ingår i:Advanced Structural and Chemical Imaging: Springer Science and Business Media LLC3:72198-0926

Av författaren/redakt...: Daurer, Benedikt ...; Krishnan, Hari; Perciano, Talita; Rocha Neves Cout ...; Shapiro, David A ...; Sethian, James A ...; visa fler...; Marchesini, Stef ...; visa färre...

Om ämnet

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.