Difference between revisions of "Indexing"

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(New page: = Indexing = == Indexing images from non-merohedrally twinned crystals (i.e. several lattices) == '''1.''' create your XDS.INP file with JOB= XYCORR INIT COLSPOT IDXREF '''2.''' run fo...)
 
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= Indexing =
 
 
 
== Indexing images from non-merohedrally twinned crystals (i.e. several lattices) ==
 
== Indexing images from non-merohedrally twinned crystals (i.e. several lattices) ==
  

Revision as of 14:24, 18 February 2008

Indexing images from non-merohedrally twinned crystals (i.e. several lattices)

1. create your XDS.INP file with

JOB= XYCORR INIT COLSPOT IDXREF

2. run for lattice 1:

% mkdir lat1
% cp XDS.INP lat1
% cd lat1
% xds

3. split the indexed/non-indexed spots:

% grep " 0       0       0" SPOT.XDS > SPOT.XDS_bad
% grep -v " 0       0       0" SPOT.XDS > SPOT.XDS_good
% mv SPOT.XDS SPOT.XDS_orig
% cp -p SPOT.XDS_good SPOT.XDS

Change to JOB= IDXREF and run

% xds

Now you have (basically) indexed lattice 1. You could repeat this step a bit further:

% grep  -v " 0       0       0" SPOT.XDS > SPOT.XDS_tmp
% mv SPOT.XDS_tmp SPOT.XDS
% xds

This will remove the non-indexed spots and run IDXREF again.

4. index lattice 2:

% mkdir ../lat2
% cp -p * ../lat2
% cd ../lat2
% cp -p SPOT.XDS_bad SPOT.XDS
% xds

Are there still too many spots rejected? Check with

% grep -c " 0       0       0" SPOT.XDS    # gives non-indexed spots
% grep -vc " 0       0       0" SPOT.XDS   # gives indexed spots

Maybe you have a third (fourth etc) lattice? Then repeat step 3 for this one ... etc

Afterwards run XDS in the lat1 directory with

JOB= DEFPIX

and take care to check BKGPIX.pck with the VIEW program (for beamstop/backstop masking)! Afterwards, copy the final BKGPIX.pck into the various directories lat2, ... latN. After changing to

JOB= INTEGRATE CORRECT

you're ready to integrate/process the various lattices.

Notes:

  • just because XDS decides not to use some spots for indexing doesn't mean these initially non-indexed spots really belong to a separate lattice: compare the indexing/orientation matrices for the different solutions to see if they are significantly different (e.g. related by a one degree rotation). Also, check your images visually (ideally with the predictions on top) to make sure you acrtually have several lattices.
  • the refinement of parameters (during the INTEGRATE step) can be very unstable: often, the spots of the two (or more) lattices are very close together: during data collection, some orientations of the spindle axis might make them move even closer until full overlap. At that point (or shortly after) the parameter refinement might 'jump' into the wrong lattice by chance. So look out for any jumps in parameters (distance, detector origina, scale, mosaicity etc).