Hi all,
I'm struggling with a dataset I have which shows very poor data quality around
3.6A, or exactly where I can see a significant ice ring in the images. I'm
trying to use mosflm to process the image files, and I have seen a previous
thread on the message board where it is recommended to tur
Hi Alex
Have a look at Auspex - it may be able to help
AUSPEX (www.auspex.de)
Harry
> On 4 Mar 2021, at 15:39, Alexander Brown
> wrote:
>
> Hi all,
> I'm struggling with a dataset I have which shows very poor data quality
> around 3.6A, or exactly where I can see a significant ice ring in t
(Obviously this is for culling the bad data after data reduction is complete-
doesn't do anything to prevent the ice ring from introducing error in the
scaling process. Not really what you were asking for, and maybe not even useful
now, given automatic outlier rejection in today's programs)
On
It might just be possible that background modelling of diffraction data
in the presence of ice rings is better done in more modern software.
Paul.
On 06/03/2021 00:10, Edward A. Berry wrote:
(Obviously this is for culling the bad data after data reduction is
complete- doesn't do anything to p
Hi Alex,
Although there is an “ice” icon in the imosflm GUI, which excludes
all resolution bins where ice ringss are possible, this is not the best way to
deal with this. Instead, use the Settings -> Processing options -> Processing
tab, where you can specify individual resolution
Apologies if this is a duplicate, not clear if the Email I sent 5 hours ago
actually got sent.
Hi Alex,
Although there is an “ice” icon in the imosflm GUI, which excludes
all resolution bins where ice ringss are possible, this is not the best way to
deal with this. Instead, use t
For manually masking out the rings, you can use mtz2various to dump reflections
in resolution ranges without ice in ascii, cat them all together and use f2mtz
to read them into a new mtz file. Example attached.
You might also be able to do it using mtzutils to write out mtz files in
limited re
