MS02-P14 Scaling data in the DIALS framework James Beilsten-Edmands (Diamond Light Source Ltd, Chilton, Didcot, United Kingdom) Richard Gildea (Diamond Light Source Ltd, Chilton, Didcot, United Kingdom) Ben Williams (Diamond Light Source Ltd, Chilton, Didcot, United Kingdom) David Waterman (CCP4, Chilton, Didcot, United Kingdom) Gwyndaf Evans (Diamond Light Source Ltd, Chilton, Didcot, United Kingdom) Graeme Winter (Diamond Light Source Ltd, Chilton, Didcot, United Kingdom)email: james.beilsten-edmands@diamond.ac.ukThe process of scaling crystallographic data aims to put all reflections on a common scale, by correcting for experimental effects such as sample illumination, absorption and radiation damage. Here we present the implementation and evaluation of a new scaling framework in the DIALS diffraction integration package [1], for scaling of macromolecular and chemical crystallographic data. We discuss the details of the scaling models used to correct the data and of the algorithm choices available. Our framework allows a new incremental workflow for multi-crystal scaling, allowing finer control of the scaling models for individual datasets, as well as further analysis tools for scaling model validation. We demonstrate the use of and the results of our scaling programs on a number of example datasets, including thin-wedge rotation data and weak-intensity data.References:

[1] Winter G., Waterman D.G., Parkhurst, J.M., Brewster A.S., Gildea R.J., Gerstel M., Fuentes-Montero L., Vollmar M., Michels-Clark T., Young I.D.,

Sauter N.K., Evans G. 2018 Acta Cryst. D74 85-97

Keywords: Scaling, DIALS