Content area
Abstract
Background
The ever improving brightness of accelerator based sources is enabling novel observations and discoveries 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 microscope operators.
Details
Title
Nanosurveyor: a framework for real-time data processing
Author
Daurer, Benedikt J 1 ; Krishnan, Hari 2 ; Perciano, Talita 2 ; Filipe R N C Maia 3 ; Shapiro, David A 4 ; Sethian, James A 5 ; Marchesini, Stefano 2
1 Laboratory of Molecular Biophysics, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
2 Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
3 Laboratory of Molecular Biophysics, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden; NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
4 Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
5 Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Department of Mathematics, University of California, Berkeley, Berkeley, CA, USA
1 Laboratory of Molecular Biophysics, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden
2 Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
3 Laboratory of Molecular Biophysics, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden; NERSC, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
4 Advanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
5 Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Department of Mathematics, University of California, Berkeley, Berkeley, CA, USA
Pages
1-10
Publication year
2017
Publication date
Jan 2017
e-ISSN
21980926
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1987893711
Copyright
Advanced Structural and Chemical Imaging is a copyright of Springer, (2017). All Rights Reserved.