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Software for the high-throughput collection of SAXS data using an enhanced Blu-Ice / DCS control system

Journal Article · · Journal of Synchrotron Radiation
 [1];  [2];  [3];  [4];  [4];  [5]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical Biosciences Division; DOE/OSTI
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Life Sciences Division
  3. 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
  4. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical Biosciences Division
  5. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Physical Biosciences Division; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Life Sciences Division
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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.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1625694
Alternate ID(s):
OSTI ID: 22432594
Journal Information:
Journal of Synchrotron Radiation, Journal Name: Journal of Synchrotron Radiation Journal Issue: 6 Vol. 17; ISSN 0909-0495; ISSN JSYRES
Publisher:
International Union of CrystallographyCopyright Statement
Country of Publication:
United States
Language:
English

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Related Subjects

59 BASIC BIOLOGICAL SCIENCES
Blu-Ice
DCS
GUI
Instruments & Instrumentation
Optics
Physics
SAXS
SIBYLS
beamline
control system
software