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 * [[Eman2NFS|Practical Advice on EMAN2 in environments with network-shared directories (like NFS)]]  * [[Eman2NFS|Using EMAN2 in environments with NFS or other network-shared directories]]

EMAN2 Concepts and Conventions

Modular classes in EMAN2

  • Processors - Filters, masks and other basic image processing operations

  • Comparators (cmp) - Similarity metrics (cmp) for comparing two images/volumes

  • Aligners - Algorithms for aligning one image/volume to another

  • Averagers - Methods for averaging many images/volumes together

  • Projectors - Generate 2-D projections of 3-D volumes (or 1-D projections of 2-D images)

  • Reconstructors - Generate 3-D volumetric reconstructions from sets of 2-D images and orientation paramters

  • Analyzers - Perform various analyses on sets of images/volumes

  • Symmetries - Permissible symmetries to use in EMAN2

  • Orientation Generators (orientgen) - Methods for generating sets of orientations filling an asymmetric unit

Information on specific files used in 3-D single particle refinement

This section documents the contents of all of the files produced by running e2refine.py in one of the refine_xx directories.

single_image_iso_c.png

EMAN2/Concepts (last edited 2018-10-08 13:00:17 by SteveLudtke)