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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 > > -- > Shanghai Institute of Materia Medica, Chinese Academy of Sciences > Address: Room 101, 646 Songtao Road, Zhangjiang Hi-Tech Park, > Shanghai, 201203 -- Kay Diederichs http://strucbio.biologie.uni-konstanz.de email: [log in to unmask] Tel +49 7531 88 4049 Fax 3183 Fachbereich Biologie, Universität Konstanz, Box 647, D-78457 Konstanz This e-mail is digitally signed. If your e-mail client does not have the necessary capabilities, just ignore the attached signature "smime.p7s".