Nanosurveyor: a framework for real-time data processing
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.
- Authors:
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); Swedish Research Council (SRC); Swedish Foundation for Strategic Research (Sweden)
- OSTI Identifier:
- 1344023
- Alternate Identifier(s):
- OSTI ID: 1379699
- Grant/Contract Number:
- AC03-76SF00098; AC02-05CH11231
- Resource Type:
- Published Article
- Journal Name:
- Advanced Structural and Chemical Imaging
- Additional Journal Information:
- Journal Name: Advanced Structural and Chemical Imaging Journal Volume: 3 Journal Issue: 1; Journal ID: ISSN 2198-0926
- Publisher:
- Springer
- Country of Publication:
- Germany
- Language:
- English
- Subject:
- 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; streaming; ptychography
Citation Formats
Daurer, Benedikt J., Krishnan, Hari, Perciano, Talita, Maia, Filipe R. N. C., Shapiro, David A., Sethian, James A., and Marchesini, Stefano. Nanosurveyor: a framework for real-time data processing. Germany: N. p., 2017.
Web. doi:10.1186/s40679-017-0039-0.
Daurer, Benedikt J., Krishnan, Hari, Perciano, Talita, Maia, Filipe R. N. C., Shapiro, David A., Sethian, James A., & Marchesini, Stefano. Nanosurveyor: a framework for real-time data processing. Germany. https://doi.org/10.1186/s40679-017-0039-0
Daurer, Benedikt J., Krishnan, Hari, Perciano, Talita, Maia, Filipe R. N. C., Shapiro, David A., Sethian, James A., and Marchesini, Stefano. Tue .
"Nanosurveyor: a framework for real-time data processing". Germany. https://doi.org/10.1186/s40679-017-0039-0.
@article{osti_1344023,
title = {Nanosurveyor: a framework for real-time data processing},
author = {Daurer, Benedikt J. and Krishnan, Hari and Perciano, Talita and Maia, Filipe R. N. C. and Shapiro, David A. and Sethian, James A. and Marchesini, Stefano},
abstractNote = {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.},
doi = {10.1186/s40679-017-0039-0},
journal = {Advanced Structural and Chemical Imaging},
number = 1,
volume = 3,
place = {Germany},
year = {Tue Jan 31 00:00:00 EST 2017},
month = {Tue Jan 31 00:00:00 EST 2017}
}
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