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Hi Sjors,

Hope you're doing well, and thanks for the new release of Relion3!

I just thought I'd ask a few questions about some of the new features
mainly surrounding CTF refinement (and to a degree generally per-particle
CTF estimation).

*Per particle CTF estimation - when is it okay to do it?*
Since we are going from 3 parameters per micrograph (U,V,Angle) to possibly
2x(# of particles) + 1 or 3x(# of particles) parameters where each CTF that
needs to fit is presumably noisier than that of the whole micrograph, do we
have anything to keep potential over-fitting in check? We seem to be
introducing a tonne more fitting parameters with less data.

I seem to get the impression that per-particle CTF/CTF refinement always
improves the reported resolution by about 0.2 A (for a 2.8-3.5 A map) and
this worries me slightly. It is quite hard to tell whether the map has been
genuinely improved or not at this level. However, I suppose if this is the
trend, we must all start doing it to make sure our reconstructions keep up
with the perceived average resolution of the community.

*CTF refinement - any concerns for independent halfsets?*
I noticed that the way CTF refinement works has been described to be
comparisons against high resolution reference projections. Presumably this
would normally be the output of a refinement run, where two halfmaps have
been combined. Would this mean then that there is potential to introduce
correlation at high resolution between the independent halfsets since the
particles have "seen" the combined map? As I understand half-sets are also
randomized every time you run a refinement and so even if CTF refinement
was being done against half-maps the potential problem for the independent
half-sets to be not quite independent still remains.

An empirical observation I made was that my FSC of a map after CTF
[log in to unmask] was very close to the FSC of the refinement without CTF
refinement @0.143 (equaling about an improvement in 0.2 A or so, as above).
Perhaps just a coincidence, but was food for thought.

*3D autopicking - picking particles with views that may not exist?*
Are there any adverse effects from picking with views of a reconstruction
that may be severely preferred (usually I find this manifests as a streaky
mess). It just seems slightly concerning about biasing the picking with
views that may or may not actually be present in the dataset. Are there any
decision making within the algorithm to decide whether a projection is used
as a reference or not, or are all projections used?

Best wishes
Shintaro



On Wed, Aug 1, 2018 at 6:17 PM, Sjors Scheres <[log in to unmask]>
wrote:

> Dear EM-ers,
>
> After multiple months of in-house testing at MRC-LMB and the SciLifeLab,
> and several months of beta-testing by a few external expert groups, we
> think that RELION-3.0 is now ready for a more general round of
> beta-testing. To that purpose, you can download it from:
>
> git clone https://bitbucket.org/scheres/relion-3.0_beta.git
>
> The attached betaGuide.pdf contains a list of new features, and
> instructions on how to install and provide us with your feedback. Please
> read it carefully. As always, please use the ccp-em email list (and not a
> direct email) to ask questions on how to use RELION. We are grateful for
> your detailed bug reports through the issue tracker on bitbucket, which
> will help to make RELION better.
>
>
> Have fun,
>
> Jasenko, Takanori, Bjorn, Dari, Erik & Sjors
>
> --
> 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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>



--
Yours Sincerely,
Shintaro Aibara

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