Hi

I’ve never actually used it in anger (one should never be angry when processing 
data…), but doesn’t AutoProc, developed by the good folks at Global Phasing do 
a lot of these analyses? Clemens, Claus etc may have something pertinent to say.

Harry

> On 30 Oct 2023, at 13:23, Jorge Iulek <jiu...@gmail.com> wrote:
> 
> Dear all,
> 
>       I have found many fundamental studies on image processing and 
> refinement indexes concerning the decision on cutting resolution for a 
> dataset, always meant to get better models, the final objective. Paired 
> refinement has been a procedure mostly indicated.
>       I have been searching studies alike concerning, in these days of 
> thousands of collected images and strong x ray beams, the cutting (or 
> truncation) of the (sequentially due to rotation method) recorded images in a 
> dataset due to radiation damage. Once again, I understand the idea is to 
> always produce better models.
>       On one hand, the more images one uses, the higher the multiplicity, 
> what (higher multiplicity) leads to better averaged intensity (provided 
> scaling makes a good job), on the other hand, the more images one uses, lower 
> intensity (due to the radiation damage) equivalent reflections come into play 
> for scaling, etc. How to balance this? I have seen a case in which truncating 
> images with some radiation damage led to worse CC(1/2) and <I/sigI> (at the 
> same high resolution shell, multiplicities around 12.3 and then 5.7), but 
> this might not be the general finding. In a word, are there indicators of the 
> point where to truncate more precisely the images such that the dataset will 
> lead to a better model? I understand tracing a sharp borderline might not be 
> trivial, but even a blurred borderline might help, specially in the moment of 
> image processing.
>       I find that in 
> https://ccp4i2.gitlab.io/rstdocs/tasks/aimless_pipe/scaling_and_merging.html#estimation-of-resolution
>  there is a suggestion to try refinement with both truncating and not 
> truncating.
>       Sure other factors come into play here, like diffraction anisotropy, 
> crystal internal symmetry, etc., but to start one might consider just the 
> radiation damage due to exposure to x rays. Yes, further on, it would be nice 
> the talk evolves to those cases when we see peaks and valleys along the 
> rotation due to crystal anisotropy, whose average height goes on diminishing.
>       Comments and indications to papers and material to study are welcome. 
> Thanks.
>       Yours,
> 
> Jorge
> 
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