It is generally assumed that the quality of X-ray diffraction data can be improved by merging data sets from several crystals. However, this effect is only valid if the data sets used are from crystals that are structurally identical. It is found that frozen macromolecular crystals very often have relatively low structure identity (and are therefore not isomorphous); thus, to obtain a real gain from multi-crystal data sets one needs to make an appropriate selection of structurally similar crystals. The application of hierarchical cluster analysis, based on the matrix of the correlation coefficient between scaled intensities, is proposed for the identification of isomorphous data sets. Multi-crystal single-wavelength anomalous dispersion data sets from four different protein molecules have been probed to test the applicability of this method. The use of hierarchical cluster analysis permitted the selection of batches of data sets which when merged together significantly improved the crystallographic indicators of the merged data and allowed solution of the structure.

ISPyB is now a multisite, generic LIMS for synchrotron-based MX experiments. Its initial functionality has been enhanced to include improved sample tracking and reporting of experimental protocols, the direct ranking of the diffraction characteristics of individual samples and the archiving of raw data and results from ancillary experiments and post-experiment data processing protocols. This latter feature paves the way for ISPyB to play a central role in future macromolecular structure solution pipelines and validates the application of the approach used in ISPyB to other experimental techniques, such as biological solution Small Angle X-ray Scattering and spectroscopy, which have similar sample tracking and data handling requirements.

A powerful and easy-to-use workflow environment has been developed at the ESRF for combining experiment control with online data analysis on synchrotron beamlines. This tool provides the possibility of automating complex experiments without the need for expertise in instrumentation control and programming, but rather by accessing defined beamline services.

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