Re: [ccp4bb] radiation damage and image discard

2023-10-31 Thread Winter, Graeme (DLSLtd,RAL,LSCI)
Along similar lines, if you happen to be working in the DIALS ecosystem there is the dials.damage_analysis program, which takes the scaled data (scaled.expt, scaled.refl) and computes a number of statistics including Rd as discussed below, and the cumulative-pairwise R factor Rcp, which

Re: [ccp4bb] radiation damage and image discard

2023-10-31 Thread Harry Powell
Hi I’ve never actually used it in anger (one should never be angry when processing data…), but doesn’t AutoProc, developed by the good folks at Global Phasing do a lot of these analyses? Clemens, Claus etc may have something pertinent to say. Harry > On 30 Oct 2023, at 13:23, Jorge Iulek

Re: [ccp4bb] radiation damage and image discard

2023-10-30 Thread Kay Diederichs
Dear Jorge, the plots available from XDSGUI in the "statistics" tab are helpful in this respect (see https://journals.iucr.org/j/issues/2023/05/00/yr5110/index.html and in particular Fig 4). In particular, delta-CC1/2 and R_d are sensitive to radiation damage. Pls note that sometimes a few

Re: [ccp4bb] radiation damage and image discard

2023-10-30 Thread Oliver H . Weiergräber
Dear Jorge, If you are using XDS for data processing, XDSCC12 and XDSSTAT (developed by Kay Diederichs) provide very useful guidance as to where to truncate your dataset in the rotation dimension. In particular, have a look at the R_d metric provided by XDSSTAT. These analyses can also be

[ccp4bb] radiation damage and image discard

2023-10-30 Thread Jorge Iulek
Dear all, I have found many fundamental studies on image processing and refinement indexes concerning the decision on cutting resolution for a dataset, always meant to get better models, the final objective. Paired refinement has been a procedure mostly indicated. I have been searching