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Dear Dimitry,

We have shown that you can perform movie alignments on a more local basis without using very extreme low-pass filters (sometimes described as "B-factors"). Thus you will necessarily have a larger yield of usable particles from the same set of micrographs. That is more than sufficient evidence of improvement!  The FRC is a metric that is local to your correction operation and that measures the improvement directly. The final 3D map resolution only comes at the end  of a long pipeline, that any two people will perform differently and that is too indirectly related to the very early data-set correction. Bottom line: the FRC metric is necessary and sufficient to show the data-set improvement by the camera correction. However it does not necessarily and sufficiently guarantee that nobody will generate gold-standard garbage further down the pipeline.  ;)
Cheers,
Marin

On 02/10/2018 07:54, Dimitry Tegunov wrote:
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Dear Marin,

do you have results showing that the proposed correction improves the final map resolution vs. conventionally gain-corrected movies? I think the FRC curves are necessary and sufficient proof , but not sufficient to prove the advantage of your approach.

Cheers,
Dimitry

On Mon, Oct 1, 2018 at 9:23 PM Marin van Heel <[log in to unmask]> wrote:
Dear Da,

In IMAGIC-4D  you can perform the necessary camera correction!
(https://www.nature.com/articles/srep10317).  It does it better than any
manufactures correction and improves the data significantly even when
performed after using the standard gain correction.

Cheers,

Marin


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On 01/10/2018 15:36, Da Cui wrote:
> Hi all,
>     The gain reference image for one dataset was missing by accident. In order to achieve a more accurate motioncor result, does anyone have idea about how to generate a gain reference image from the dataset (around 3k movies)?
>     Thank you so much for your help!!!
> ---Da
>
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