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Transform_normalize_v3
Change the range of intensity values of pixels. In general, most of the methods requires a background to separate particles from noise
Parameters
--mode <mode
overwrite> where <mode> can be:
-
-
$
--label <image_label
image> $-o, --output <output_file
> $--oroot <root
>$``: for 2D-images: do not apply transformation stored in the header $ --method <mth
NewXmipp> where <mth> can be: -
OldXmipp I=(I-m(I))/stddev(I) Avg(I)
0, Stddev(I)
1, does not need background -
NewXmipp I=(I-m(bg))/stddev(bg) Avg(bg)
0, Stddev(I)
1 Positivity constraints can be added in reconstruction -
I=(I-mean(I))/(stddev(I)*cos(tilt)) does not need background, it assumes the tilt series is vertically aligned Similar toOldXmipp but with an extra division by the cos(tilt)
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Subtract ramp and thenNewXmipp
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$
: Invert contrast. $`--thr_black_dust <sblack`-3.5> $`--thr_white_dust <swhite`3.5> $`--thr_neigh <value`1.2> $
: Requires --method Random. I=aI+b. $: Apply a mask depending on the tilt requires --method Tomography or Tomography0 $
:where <mode> can be:
-
- $ or
--mask <mask_type
circular> where <mask_type> can be: - $
--center <x0
0> <y0=0> <z0=0>
Normalize usingOldXmipp method
xmipp_transform_normalize -i images.sel --method[[OldXmipp]]Normalize 64x64 images usingNewXmipp method
xmipp_transform_normalize -i images.sel --method[[NewXmipp]] --background circle 29Normalize 64x64 images usingNewXmipp method and a crown mask
xmipp_transform_normalize -i images.sel --method[[NewXmipp]] --mask crown 29 32Normalize a volume to have zero mean and unit variance
xmipp_transform_normalize -i volume.vol