2008
DOI: 10.1107/s0907444908030564
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New paradigm for macromolecular crystallography experiments at SSRL: automated crystal screening and remote data collection

Abstract: Through the combination of robust mechanized experimental hardware and a flexible control system with an intuitive user interface, SSRL researchers have screened over 200 000 biological crystals for diffraction quality in an automated fashion. Three quarters of SSRL researchers are using these data-collection tools from remote locations.

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Cited by 119 publications
(89 citation statements)
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“…KSI X-Ray Crystallography. Single-crystal diffraction data were collected at the Stanford Synchrotron Radiation Lightsource Beamline BL9-1 using a wavelength of 0.98 Å (42). The reflections were indexed and integrated and with the programs XDS (43); the intensities were scaled, merged, and converted Table S3.…”
Section: Experimental Methodsmentioning
confidence: 99%
“…KSI X-Ray Crystallography. Single-crystal diffraction data were collected at the Stanford Synchrotron Radiation Lightsource Beamline BL9-1 using a wavelength of 0.98 Å (42). The reflections were indexed and integrated and with the programs XDS (43); the intensities were scaled, merged, and converted Table S3.…”
Section: Experimental Methodsmentioning
confidence: 99%
“…The combination of highly intense focused X-ray beams, automatic sample changers, automated beam delivery, online data analysis and fast readout detectors at synchrotron macromolecular crystallography (MX) beamlines now allows for the collection of hundreds of datasets during each assigned experimental session (Arzt et al, 2005;Beteva et al, 2006;Bourenkov & Popov, 2010;Bowler et al, 2010;Cherezov et al, 2009;Cipriani et al, 2006;de Sanctis et al, 2012;Flot et al, 2010;Gabadinho et al, 2010;Incardona et al, 2009;Jacquamet et al, 2009;Leslie et al, 2002;McCarthy et al, 2009;McPhillips et al, 2002;Nurizzo et al, 2006;Soltis et al, 2008). In many cases, complete diffraction datasets can be collected in under one minute (Hü lsen et al, 2006).…”
Section: Introductionmentioning
confidence: 99%
“…Remote users, who ship their samples to a facility for data collection, also require more robust data management and movement infrastructure. Advances in the technology and automation at these shared facilities are producing higher data rates, with an anticipated need to process terabytes per day in the near future (Soltis et al, 2008). These challenges are similar to those faced by genomics research or high-energy physics: centralized data collection at a shared facility by a large group of users with independent affiliations and collaborations.…”
Section: Introductionmentioning
confidence: 96%