Hi Wayne,
Particles may move around from one exposure to the next. Perhaps, you
could re-align all particles from the second data set against all refined
references from the first data set? You can give --ref myrefs.star (use
rlnReferenceImage in this table), together with the original --K
But in general, this may be a tricky thing. Particles may jump from their
original references to others. To prevent that, you'd have to run a 2D
classification with a single-class and use that reference from the first
round, but that will need more scripting.
HTH,
Sjors
> I have images of pairs. Now I try to do 2D average on them. For the first
> exposure, after 2D average, I got the orientation and center information
> for each particle in that dataset. How could I apply these info to the
> second exposure data to directly get the 2D average without actually going
> through 2D class average?
>
> The reason to do so is because I need make sure each average is aligned on
> both dataset. If the particles go through 2D class average separately, the
> class averages won't align.
>
> Wayne
>
--
Sjors Scheres
MRC Laboratory of Molecular Biology
Francis Crick Avenue, Cambridge Biomedical Campus
Cambridge CB2 0QH, U.K.
tel: +44 (0)1223 267061
http://www2.mrc-lmb.cam.ac.uk/groups/scheres
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