Fully automatic characterization and data collection from crystals of biological macromolecules

94Citations
Citations of this article
86Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Considerable effort is dedicated to evaluating macromolecular crystals at synchrotron sources, even for well established and robust systems. Much of this work is repetitive, and the time spent could be better invested in the interpretation of the results. In order to decrease the need for manual intervention in the most repetitive steps of structural biology projects, initial screening and data collection, a fully automatic system has been developed to mount, locate, centre to the optimal diffraction volume, characterize and, if possible, collect data from multiple cryocooled crystals. Using the capabilities of pixel-array detectors, the system is as fast as a human operator, taking an average of 6 min per sample depending on the sample size and the level of characterization required. Using a fast X-ray-based routine, samples are located and centred systematically at the position of highest diffraction signal and important parameters for sample characterization, such as flux, beam size and crystal volume, are automatically taken into account, ensuring the calculation of optimal data-collection strategies. The system is now in operation at the new ESRF beamline MASSIF-1 and has been used by both industrial and academic users for many different sample types, including crystals of less than 20 μm in the smallest dimension. To date, over 8000 samples have been evaluated on MASSIF-1 without any human intervention.

Cite

CITATION STYLE

APA

Svensson, O., Malbet-Monaco, S., Popov, A., Nurizzo, D., & Bowler, M. W. (2015). Fully automatic characterization and data collection from crystals of biological macromolecules. Acta Crystallographica Section D: Biological Crystallography, 71, 1757–1767. https://doi.org/10.1107/S1399004715011918

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free