Replies: 2 comments
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Hi,
I do however have doubts that excluding the frames will matter for the cosym analysis. Typically I would exclude them in scaling, and normally I don't think about manually working out which frames to exclude based on Rmerge.
This will consider each block of 5 images and determine whether that block positively contributes to the overall CC1/2 or not. This is more robust than using Rmerge. Even if a few frames look like they have bad Rmerge, you may find that they still contribute to CC1/2, so it is worth keeping them. There are a few other parameters you can play with too, which you can look at by running:
then looking for the scope named Hope this helps. |
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Thank you David, for your response. I think what you mention for dials.scale would be more useful for me since I have different images that might affect my results and they are not in a specific range. For instance, I have one at 10, another one at 160, and they are not consecutive. Thanks |
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Hello everyone,
As a newie using DIALS for microED, I find myself with a couple of queries that could benefit from your expertise.
Firstly:
Is there a method within DIALS to annotate or draw lines on the images for the purpose of identifying the beam center? I'm particularly interested in a functionality similar to what's illustrated in the Biotin tutorial.
Secondly:
Upon analysis, I've identified images with an Rmerge exceeding 1. I'm considering excluding them to enhance the data quality for cosym. However, these problematic images are not confined to the beginning or end of the datasets—they are dispersed in the middle (two or three in each dataset). Is there a recommended approach for using dials.import with three distinct image ranges to accommodate this scenario?
Thank you!
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