Can people say how "high mosaicity" is defined. High relative to what?

Is it high relative to the rotation range for each image, high relative to the 
incident beam divergence, high relative to the (angular) detector resolution or 
something else?

 

Regards

Colin

 

 

From: CCP4 bulletin board [mailto:[email protected]] On Behalf Of 
[email protected]
Sent: 28 January 2011 14:36
To: [email protected]
Subject: Re: [ccp4bb] Merging data to increase multiplicity

 

My experience (unpublished) is that XDS works very well for high-mosaicity 
crystals due to the 3-dimensional profile fitting. For low mosaicity crystals, 
I did not notice much of a difference between different programs. However, 
since bad crystals tend to have a high to very high mosaicity, I fully agree 
with Jürgens statement.

 

Best regards,

Herman

         

        
________________________________


        From: CCP4 bulletin board [mailto:[email protected]] On Behalf Of 
Van Den Berg, Bert
        Sent: Friday, January 28, 2011 2:38 PM
        To: [email protected]
        Subject: Re: [ccp4bb] Merging data to increase multiplicity

        I have heard this before. I'm wondering though, does anybody know of a 
systematic study where different data processing programs are compared with 
real-life, non-lysozyme data?
        
        Bert
        
        
        On 1/28/11 7:58 AM, "Bosch, Juergen" <[email protected]> wrote:

        I was a bit reductive with my statement (iPhone....)
        The equation below is suppose to read:
        If you have bad data, then you need to process with XDS in order to get 
the maximum out of your data.
        
        Thanks Tim,
        
        Jürgen
        
        -
        Jürgen Bosch
        Johns Hopkins Bloomberg School of Public Health
        Department of Biochemistry & Molecular Biology
        Johns Hopkins Malaria Research Institute
        615 North Wolfe Street, W8708
        Baltimore, MD 21205
        Phone: +1-410-614-4742
        Lab:      +1-410-614-4894
        Fax:      +1-410-955-3655
        http://web.mac.com/bosch_lab/ <http://web.me.com/bosch_lab/> 
        
        On Jan 28, 2011, at 7:44 AM, Tim Gruene wrote:

        Dear Jürgen,
        
        is this an assignment operator or an equal sign? For if it's the latter 
it could
        read that the result of processing data with XDS are bad data, which is 
rather
        rude and probably not what you meant.
        
        Tim
        
        On Fri, Jan 28, 2011 at 06:55:43AM -0500, Jürgen Bosch wrote:

        Bad data = processing with XDS
        
        Jürgen 
        
        ......................
        Jürgen Bosch
        Johns Hopkins Bloomberg School of Public Health
        Department of Biochemistry & Molecular Biology
        Johns Hopkins Malaria Research Institute
        615 North Wolfe Street, W8708
        Baltimore, MD 21205
        Phone: +1-410-614-4742
        Lab:      +1-410-614-4894
        Fax:      +1-410-955-3655
        http://web.mac.com/bosch_lab/
        
        On Jan 28, 2011, at 6:46, José Trincão <[email protected]> wrote:

        Hello all,
        I have been trying to squeeze the most out of a bad data set (P1, 
anisotropic, crystals not reproducible). I had very incomplete data due to high 
mosaicity and lots of overlaps. The completeness was about 80% overall to ~3A. 
Yesterday I noticed that I could process the data much better fixing the 
mosaicity to 0.5 in imosflm. I got about 95% complete up to 2.5A but with a 
multiplicity of 1.7. I tried to integrate the same data fixing the mosaicity at 
different values ranging from 0.2 to 0.6 and saw the trend in completeness, 
Rmerge and multiplicity.
        Now, is there any reason why I should not just merge all these together 
and feed them to scala in order to increase multiplicity?
        Am I missing something?
        
        Thanks for any comments!
        
        Jose
        
        
        José Trincão, PhD    CQFB@FCT-UNL
        2829-516 Caparica, Portugal
        
        "It's very hard to make predictions... especially about the future" - 
Niels Bohr

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