Hi

I'd agree with Kay here - I would think that the original indexing is incorrect.

One thing I notice on the original image as posted - there's a red cross on it - if that's supposed to mark the beam position, I think it's about 4mm or so away from the true position.

So -

(1) check the beam position carefully (it may be wrong in the image header)

(2) after indexing, make sure that the predictions match the spot positions

(3) if the predictions don't match the spot positions, don't try to integrate - find out what's wrong (wrong wavelength, beam position, distance???). If you can't work it out, ask one of the experts to look at a sample of your original images (iMosflm ask Andrew or me, XDS ask Kay, HKL Wladek or ZO...).

(4) If the predictions do match the spot positions, integrate the dataset in P1 (i.e. triclinic) and see what Pointless suggests as the symmetry. You may just be trying to impose too much symmetry. If you can't work out what the issue is, ask an expert to help directly - we're all happy to help out!

(5) Worry about the ice rings after you've sorted out the above problems, not before.

HTH

On 15 Oct 2011, at 12:09, Kay Diederichs wrote:

Hi ChenTiantian,

the R-factors and I/sigma are bad even at low resolution where the first icering does not influence the results. Thus, the problem with your data processing has little to do with the icerings. I guess that the indexing is not correct.
My suggestion:
1) using adxv or a similar display program, note what the inner and outer limits of the ice rings are. These values should be used as parameters for the EXCLUDE_RESOLUTION_RANGE= keywords in XDS.INP, not the provided ones (which are meant for hexagonal ice).
2) start XDS from the INIT step
3) use at least half of your DATA_RANGE as SPOT_RANGE
4) make sure that ORGX and ORGY are correct - mis-indexing is in 90% of the cases due to a wrong origin. In fact, just estimating ORGX and ORGY from the first frame, using adxv or XDS-viewer, seems to do a good job.

HTH,

Kay


Am 20:59, schrieb ChenTiantian:
Hi there,
I am processing a dataset which has bad ice rings (as you can see in the
attach png file).
I tried both XDS and imosflm, and got similar results, it seems that
adding " EXCLUDE_RESOLUTION_RANGE" cannot get rid of the effects of the
ice rings.
the following is part of the CORRECT.LP which is the second attached
file, you can find more details there.

  SUBSET OF INTENSITY DATA WITH SIGNAL/NOISE >= -3.0 AS FUNCTION OF
RESOLUTION
 RESOLUTION     NUMBER OF REFLECTIONS    COMPLETENESS R-FACTOR
R-FACTOR COMPARED I/SIGMA   R-meas  Rmrgd-F  Anomal  SigAno   Nano
   LIMIT     OBSERVED  UNIQUE  POSSIBLE     OF DATA   observed
expected                                      Corr

     4.24       37152    5537      5545       99.9%      46.9%
52.7%    37150    2.48    50.8%    19.4%   -28%   0.513    5136
     3.01       55344    9002      9840       91.5%      62.7%
65.1%    55116    1.76    68.3%    48.1%   -28%   0.520    7760
     2.46       84636   12699     12703      100.0%      67.4%
84.7%    84634    1.55    73.0%    54.2%   -19%   0.513   12104
     2.13       97910   14743     14987       98.4%     254.5%
199.3%    97908    0.16   276.2%  4899.9%   -23%   0.473   14037
     1.90      110260   16846     16940       99.4%     299.2%
303.3%   110245    0.06   325.0%   -99.9%   -17%   0.422   15995
     1.74      118354   18629     18744       99.4%    1062.0%
1043.6%   118317   -0.20  1156.4%   -99.9%   -13%   0.380   17414
     1.61      122958   20193     20331       99.3%     967.5%
1571.1%   122868    0.10  1059.7%   987.3%    -2%   0.402   18348
     1.51      125075   21554     21794       98.9%     838.9%
1355.1%   124933    0.08   922.6%  1116.9%    -1%   0.402   18977
     1.42       72057   17042     23233       73.4%     640.8%
775.3%    70391    0.08   732.5%   826.7%    -8%   0.425   10003
    total      823746  136245    144117       94.5%     166.4%
166.7%   821562    0.40   181.1%   296.7%   -15%   0.435  119774

Note that I/SIGMA of each resolution shell is <2.5, so how should I do to process the dataset properly? Any suggestion about this super ice rings?
Thanks!

Tiantian

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Shanghai Institute of Materia Medica, Chinese Academy of Sciences
Address: Room 101, 646 Songtao Road, Zhangjiang Hi-Tech Park,
Shanghai, 201203


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Kay Diederichs                http://strucbio.biologie.uni-konstanz.de
email: kay.diederi...@uni-konstanz.de    Tel +49 7531 88 4049 Fax 3183
Fachbereich Biologie, Universität Konstanz, Box 647, D-78457 Konstanz

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