 |
 |
Hi Xinghua, The total intensity of each reflection needs to be accurately quantitated in order to calculate the structure factors. Not only the dots need to be well separated in the 3D reciprocal space, but also a small area around the dots are often needed to calculate the background for subtraction. That is why when two dots are getting too close, the programs will reject both dots. The first thing you need to do is to inspect the images reported with large number of overlaps to see if the dots are really overlapping or just close to each other. If the dots are barely touching or just too close to each other, you can manipulate the SEPERATION parameter to force the program to take the closely spaced spots. But keep in mind that you may get less accurate integration by doing so. If many spots are really touching each other, normally we won't force the programs to use them. Then the proper remedy is to move the detector farther and collect the dataset again (also, try to optimize your freezing to get the mosaicity as low as possible). For how to play with the mosflm parameters, please read here: http://www.mrc-lmb.cam.ac.uk/harry/cgi-bin/keyword2.cgi?SEPARATION. What you need is probably CLOSE. The hazard of high percentage of overlaps: If the overlaps are only scattered in a whole dataset, it is OK, even if they make up 5-10% or even 20% of the whole dataset. It will only give you a lower completeness, which is not too detrimental to the structure solution. However, if large, continuous regions in the dataset are missing, that will cause you to have poorly defined regions in the calculated map, often seen as featureless stripes or layers in the map. Unfortunately, when you have closely spaced reflections, the latter is often the case. The proper solution is to collect the data at a greater detector distance to resolve the spots (after taking the test images, both imosflm and HKL2000 can simulate the collection run to help you to decide what distance you need). In cases that you have a long unit cell (>200A), the first thing you need to do is to align the long edge of the Unix cell with the rotational axis of the pin. In the difficult cases, you probably even need to shoot multiple crystals and combine the datasets to get enough completeness. Zhijie From: Xinghua Qin Sent: Sunday, May 13, 2012 10:22 PM To: [log in to unmask] Subject: [ccp4bb] how to ignore spot overlap in imosflm? Dear CCP4ers, We collected a diffraction dataset with high percentage of spot overlaps, It would be so kind to tell me how to ignore spot overlap in imosflm and explain the hazard of high percentage of spot overlaps. Thanks in advance. Best wishes Xinghua Qin -- Xinghua Qin State Key Laboratory of Plant Physiology and biochemistry College of Biological Sciences China Agricultural University No.2, Yuan Ming Yuan West Road Haidian District, Beijing, China 100193 Tel: +86-10-62732672 E-mail: [log in to unmask]