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Bad data = processing with XDS Jürgen ...................... Jürgen Bosch Johns Hopkins Bloomberg School of Public Health Department of Biochemistry & Molecular Biology Johns Hopkins Malaria Research Institute 615 North Wolfe Street, W8708 Baltimore, MD 21205 Phone: +1-410-614-4742 Lab: +1-410-614-4894 Fax: +1-410-955-3655 http://web.mac.com/bosch_lab/ On Jan 28, 2011, at 6:46, José Trincão <[log in to unmask]> wrote: > Hello all, > I have been trying to squeeze the most out of a bad data set (P1, anisotropic, crystals not reproducible). I had very incomplete data due to high mosaicity and lots of overlaps. The completeness was about 80% overall to ~3A. Yesterday I noticed that I could process the data much better fixing the mosaicity to 0.5 in imosflm. I got about 95% complete up to 2.5A but with a multiplicity of 1.7. I tried to integrate the same data fixing the mosaicity at different values ranging from 0.2 to 0.6 and saw the trend in completeness, Rmerge and multiplicity. > Now, is there any reason why I should not just merge all these together and feed them to scala in order to increase multiplicity? > Am I missing something? > > Thanks for any comments! > > Jose > > > José Trincão, PhD CQFB@FCT-UNL > 2829-516 Caparica, Portugal > > "It's very hard to make predictions... especially about the future" - Niels Bohr