Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice / DCS control system
Abstract
Biological small-angle X-ray scattering (SAXS) provides powerful complementary data for macromolecular crystallography (MX) by defining shape, conformation and assembly in solution. Although SAXS is in principle the highest throughput technique for structural biology, data collection is limited in practice by current data collection software. Here the adaption of beamline control software, historically developed for MX beamlines, for the efficient operation and high-throughput data collection at synchrotron SAXS beamlines is reported. The Blu-Ice GUI and Distributed Control System (DCS) developed in the Macromolecular Crystallography Group at the Stanford Synchrotron Radiation Laboratory has been optimized, extended and enhanced to suit the specific needs of the biological SAXS end station at the SIBYLS beamline at the Advanced Light Source. The customizations reported here provide a potential route for other SAXS beamlines in need of robust and efficient beamline control software. As a great deal of effort and optimization has gone into crystallographic software, the adaption and extension of crystallographic software may prove to be a general strategy to provide advanced SAXS software for the synchrotron community. In this way effort can be put into optimizing features for SAXS rather than reproducing those that have already been successfully implemented for the crystallographic community.
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical Biosciences Division
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Life Sciences Division
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical Biosciences Division; Univ. of California, San Francisco, CA (United States). Dept. of Biochemistry and Biophysics
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical Biosciences Division; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Life Sciences Division
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
- OSTI Identifier:
- 1625694
- Grant/Contract Number:
- AC02-05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Synchrotron Radiation
- Additional Journal Information:
- Journal Volume: 17; Journal Issue: 6; Journal ID: ISSN 0909-0495
- Publisher:
- International Union of Crystallography
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Instruments & Instrumentation; Optics; Physics; SAXS; software; beamline; control system; Blu-Ice; DCS; SIBYLS; GUI
Citation Formats
Classen, Scott, Rodic, Ivan, Holton, James, Hura, Greg L., Hammel, Michal, and Tainer, John A. Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice / DCS control system. United States: N. p., 2010.
Web. doi:10.1107/s0909049510028566.
Classen, Scott, Rodic, Ivan, Holton, James, Hura, Greg L., Hammel, Michal, & Tainer, John A. Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice / DCS control system. United States. https://doi.org/10.1107/s0909049510028566
Classen, Scott, Rodic, Ivan, Holton, James, Hura, Greg L., Hammel, Michal, and Tainer, John A. Fri .
"Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice / DCS control system". United States. https://doi.org/10.1107/s0909049510028566. https://www.osti.gov/servlets/purl/1625694.
@article{osti_1625694,
title = {Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice / DCS control system},
author = {Classen, Scott and Rodic, Ivan and Holton, James and Hura, Greg L. and Hammel, Michal and Tainer, John A.},
abstractNote = {Biological small-angle X-ray scattering (SAXS) provides powerful complementary data for macromolecular crystallography (MX) by defining shape, conformation and assembly in solution. Although SAXS is in principle the highest throughput technique for structural biology, data collection is limited in practice by current data collection software. Here the adaption of beamline control software, historically developed for MX beamlines, for the efficient operation and high-throughput data collection at synchrotron SAXS beamlines is reported. The Blu-Ice GUI and Distributed Control System (DCS) developed in the Macromolecular Crystallography Group at the Stanford Synchrotron Radiation Laboratory has been optimized, extended and enhanced to suit the specific needs of the biological SAXS end station at the SIBYLS beamline at the Advanced Light Source. The customizations reported here provide a potential route for other SAXS beamlines in need of robust and efficient beamline control software. As a great deal of effort and optimization has gone into crystallographic software, the adaption and extension of crystallographic software may prove to be a general strategy to provide advanced SAXS software for the synchrotron community. In this way effort can be put into optimizing features for SAXS rather than reproducing those that have already been successfully implemented for the crystallographic community.},
doi = {10.1107/s0909049510028566},
journal = {Journal of Synchrotron Radiation},
number = 6,
volume = 17,
place = {United States},
year = {Fri Sep 03 00:00:00 EDT 2010},
month = {Fri Sep 03 00:00:00 EDT 2010}
}
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