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== EMAN2 Concepts and Conventions == = EMAN2 Concepts and Conventions =
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 * [[EMAN2/ProjectDatabase|Projects, e2desktop.py and the database]]
 * [[EMAN2/BoxSize|Particle box-size and refinement speed, what size to use]]
 * [[EMAN2/Symmetry|EMAN2 and the asymmetric unit]]
=== Data Storage ===
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 * [[EMAN2/CtfModel|CTF model used in EMAN2]]
 * [[Eman2TransformInPython|Transformations in the context of projections, reconstructions, and in general]]
 * [[EMAN2/AlignersDescription|More information regarding the aligners]]
 * [[EMAN2/SimmxFiles|Similarity matrix image files (simmx_*)]]
 * [[EMAN2/ClassmxFiles|Classification matrix image files (classify_*)]]
 * [[EMAN2/ClsResultFiles|Class-Averaging Results matrix image files (cls_result_*)]]
 * [[Eman2NFS|Using EMAN2 in environments with NFS or other network-shared directories]]
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=== Mathematical Conventions ===
 * [[EMAN2/BoxSize|Particle box-size and refinement speed, what size to use]]
 * [[Eman2TransformInPython|3D and 2D Transformations (rotation, translation, etc.)]]
 * [[EMAN2/Symmetry|Symmetry in EMAN2, and generating projections in an asymmetric unit]]
 * [[EMAN2/CtfModel|CTF model used in EMAN2]]

=== Modular functions in EMAN2 ===
Many aspects of EMAN2 are modular, meaning new functions can be easily added for a variety of tasks. These categories are used in the GUI and from
the command-line, and are not just useful for programmers. For example, the '--process' option in e2proc2d.py and e2proc3d.py uses 'processors' as
defined below.

 * [[EMAN2/Modular/Overview|Overview of how to use modular functions]]
 * [[EMAN2/Modular/Processors|Processors]] - Filters, masks and other basic image processing operations
 * [[EMAN2/Modular/Cmps|Comparators]] (cmp) - Similarity metrics (cmp) for comparing two images/volumes
 * [[EMAN2/Modular/Aligners|Aligners]] - Algorithms for aligning one image/volume to another
 * [[EMAN2/Modular/Averagers|Averagers]] - Methods for averaging many images/volumes together
 * [[EMAN2/Modular/Projectors|Projectors]] - Generate 2-D projections of 3-D volumes (or 1-D projections of 2-D images)
 * [[EMAN2/Modular/Reconstructors|Reconstructors]] - Generate 3-D volumetric reconstructions from sets of 2-D images and orientation paramters
 * [[EMAN2/Modular/Analyzers|Analyzers]] - Perform various analyses on sets of images/volumes
 * [[EMAN2/Modular/Symmetries|Symmetries]] - Permissible symmetries to use in EMAN2
 * [[EMAN2/Modular/OrientGens|Orientation Generators]] (orientgen) - Methods for generating sets of orientations filling an asymmetric unit


EMAN2 Concepts and Conventions

Data Storage

Mathematical Conventions

Modular functions in EMAN2

Many aspects of EMAN2 are modular, meaning new functions can be easily added for a variety of tasks. These categories are used in the GUI and from the command-line, and are not just useful for programmers. For example, the '--process' option in e2proc2d.py and e2proc3d.py uses 'processors' as defined below.

  • Overview of how to use modular functions

  • 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

single_image_iso_c.png

EMAN2/Concepts (last edited 2024-02-03 17:16:45 by SteveLudtke)