Hi Dmitry,
Depending on the dataset, you may be able to identify images with carbon by sorting based on the estimated resolution to which the CTF can be confidently modeled. Amorphous carbon will generally give strong Thon rings extending to significantly higher resolution than protein in ice.
Cheers
Oli
> On Sep 7, 2022, at 10:59 AM, Marino Jacopo (PSI) <[log in to unmask]> wrote:
>
>
> Dear Dmitry,
>
> a) will the combination of particles (collected on carbon and in ice) compromise the resolution?
> Yes if the fraction of particles collected on carbon contributes to most of the signal.
>
> b) if yes - how to remove those images recorded on carbon?
> The first thing would be to check if the picking parameters can be changed to minimize the pick on carbon. If this is not possible, you will still have particles on carbon that will end up in your best 2D classes after multiple round of 2D classification, and for those there is likely little that you can do, but also little you need to worry about.
> Maybe others here have other suggestions...
>
> Hope it helps
> Jacopo
>
>
> -----Original Message-----
> From: Collaborative Computational Project in Electron cryo-Microscopy <[log in to unmask]> On Behalf Of Dmitry Semchonok
> Sent: Wednesday, 7 September 2022 16:41
> To: [log in to unmask]
> Subject: [ccpem] Images, recorded on carbon
>
>
> Dear colleagues,
>
> I have images recorded on carbon mixed with fine images.
>
> My questions are:
>
> a) will the combination of particles (collected on carbon and in ice) compromise the resolution?
>
> b) if yes - how to remove those images recorded on carbon?
>
>
> Thanks in advance.
>
> Kind regards,
> Dmitry
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