Preprocess images: Difference between revisions

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** If your data have previously been pre-Wiener filtered, that's a ''very bad thing to do in general'': go back to the original data.
** If your data have previously been pre-Wiener filtered, that's a ''very bad thing to do in general'': go back to the original data.
* '''Normalised''' (the exact procedure does not matter too much, as errors in the normalisation are corrected internally)
* '''Normalised''' (the exact procedure does not matter too much, as errors in the normalisation are corrected internally)
* In one or more '''MRC stacks''' (although also SPIDER and IMAGIC files may be read)
* In one or more '''MRC stack'''s (with extension <code>.mrcs</code>; but also SPIDER and IMAGIC files may be read)


And then, just like with any other refinement program, you might save yourself lots of trouble if your data have:  
And then, just like with any other refinement program, you might save yourself lots of trouble if your data have:  


* '''high signal-to-noise''' ratios (take great care in sample preparation and data collection)
* '''high signal-to-noise''' ratios (take great care in sample preparation and data collection)

Revision as of 20:57, 27 September 2011

RELION will work best if your data are

  • Clean from false particles (no images are discarded during refinement).
    • Xmipp implements an image sorting utility called xmipp_sort_by_statistics that is very handy in the cleaning of a data set.
  • Unmasked (masking is performed internally)
  • Non-interpolated (prevent any prior rotations/translations: use the originally scanned pixel values)
    • If downscaling is necessary because of memory issues: use a window-operation in Fourier-space, not a convolution in real-space (e.g. with rectangle/B-spline).
    • Xmipp implements the Fourier-space downscaling in the xmipp_scale program with the -fourier option.
  • Uncorrected for CTF (this is done internally)
    • If your data have previously been phase-flipped, that's OK: just tell RELION about it
    • If your data have previously been pre-Wiener filtered, that's a very bad thing to do in general: go back to the original data.
  • Normalised (the exact procedure does not matter too much, as errors in the normalisation are corrected internally)
  • In one or more MRC stacks (with extension .mrcs; but also SPIDER and IMAGIC files may be read)

And then, just like with any other refinement program, you might save yourself lots of trouble if your data have:

  • high signal-to-noise ratios (take great care in sample preparation and data collection)