SynchLink: an iOS app for ISPyB

DOI: 10.1107/S1600576714017531
PMID: 25294981

Authors: Helen Mary Ginn (Diamond Light Source; The Wellcome Trust Centre for Human Genetics, University of Oxford) , Ghita Kouadri Mostefaoui (Diamond Light Source) , Karl Erik Levik (Diamond Light Source) , Jonathan Mark Grimes (Diamond Light Source; The Wellcome Trust Centre for Human Genetics, University of Oxford) , Martin Austin Walsh (Diamond Light Source) , Alun William Ashton (Diamond Light Source) , David Ian Stuart (Diamond Light Source; The Wellcome Trust Centre for Human Genetics, University of Oxford)
Co-authored by industrial partner: No

Type: Journal Paper
Journal: Journal Of Applied Crystallography , VOL 47 (5) , PAGES 1781 - 1783

State: Published (Approved)
Published: October 2014

Abstract: The macromolecular crystallography (MX) user experience at synchrotron radiation facilities continues to evolve, with the impact of developments in X-ray detectors, computer hardware and automation methods making it possible for complete data sets to be collected on timescales of tens of seconds. Data can be reduced in a couple of minutes and in favourable cases structures solved and refined shortly after. The information-rich database ISPyB, automatically populated by data acquisition software, data processing and structure solution pipelines at the Diamond Light Source beamlines, allows users to automatically track MX experiments in real time. In order to improve the synchrotron users' experience, efficient access to the data contained in ISPyB is now provided via an iOS 6.0+ app for iPhones and iPads. This provides users, both local and remote, with a succinct summary of data collection, visualization of diffraction images and crystals, and key metrics for data quality in real time.

Journal Keywords: Remote Data Collection; Synchrotron Radiation; Macromolecular Crystallography; Laboratory Information Management Systems (Lims).

Subject Areas: Information and Communication Technology, Biology and Bio-materials


Technical Areas: Data acquisition

Added On: 23/11/2015 15:39

Documents:
he5667.pdf

Discipline Tags:

Computing & software technologies Information & Communication Technologies Structural biology Life Sciences & Biotech

Technical Tags: