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        <title>aligners</title>
        <link>https://blake.bcm.edu/emanwiki/doku.php?id=eman2:modular:aligners&amp;rev=1751658766&amp;do=diff</link>
        <description>Aligners

To get a current list of Aligners, run e2help.py aligner or for more detailed information e2help.py aligner -v 2.

For single particle analysis, we currently recommend using rotate_translate_flip for first stage alignment, and refine for second-stage alignment.</description>
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        <title>analyzers</title>
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        <description>Analyzers

To get a current list of Analyzers, run e2help.py analyzer or for more detailed information e2help.py analyzer -v 2.</description>
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        <title>averagers</title>
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        <description>Averagers

To get a current list of Averagers, run e2help.py averager or for more detailed information e2help.py averager -v 2.

Currently for EMAN2 refinements, these are the recommended choices:

	*  ctfw.auto - (recommended) CTF corrected average with Wiener filtration. Note that the</description>
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        <title>cmps</title>
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        <description>Comparators (cmp)

To get a current list of Comaparators, run e2help.py cmp or for more detailed information e2help.py cmp -v 2.

The most commonly used comparators and options are:

	*  ccc - simple cross correlation coefficient (dot product). Causes orientation bias for some particles, but generally good for initial coarse alignments.</description>
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        <dc:date>2025-07-04T20:03:51+00:00</dc:date>
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        <title>orientgens</title>
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        <description>OrientGens

To get a current list of available orientation generators, please run e2help.py orientgens or for more detail, e2help.py orientgens -v 2.

A typical orientation generator looks like this:

	*  eman:delta=2.0:inc_mirror=0

Note that the perturb</description>
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        <dc:date>2025-07-04T19:49:42+00:00</dc:date>
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        <title>processors</title>
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        <description>Processors

To get a current list of Processors, run e2help.py processor or for more detailed information e2help.py processor -v 2.

These are algorithms for masking, filtering and performing other basic image processing operations. They are used in a wide range of different situations, but most often are specified to</description>
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        <description>Projectors

To get a current list of Projectors, run e2help.py projector or for more detailed information e2help.py projector -v 2.

For the moment, standard is the only projector we recommend for use in EMAN2 refinements.</description>
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        <dc:date>2025-07-04T19:55:08+00:00</dc:date>
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        <title>reconstructors</title>
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        <description>Reconstructors

To get a current list of Recosntructors, run e2help.py reconstructor or for more detailed information e2help.py reconstructor -v 2.

At present we recommend either of these:

	*  wiener_fourier - (recommended unless using m3dsetsf) Standard EMAN2 direct Fourier inversion, with true 3-D Wiener filtration based on micrograph SSNR estimates. That this will (properly) undo any 2-D Wiener filtration prior to reconstruction.</description>
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        <dc:date>2025-07-04T20:03:07+00:00</dc:date>
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        <title>symmetries</title>
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        <description>Symmetries

To get a current list of Symmetries, run e2help.py symmetry or for more detailed information e2help.py symmetry -v 2.

See also Symmetry</description>
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