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| == EMAN2 Concepts and Conventions == | = EMAN2 Concepts and Conventions = |
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| This page describes some important concepts in EMAN2 | === Data Storage === * [[Eman2DataStorage|Supported '''image file formats''' and usage]] * [[Eman2HDF|How EMAN2 stores data in '''HDF5 files''']] * [[Eman2Metadata|'''Header information''' stored within image files]] * [[Eman2InfoMetadata|Information stored in '''JSON files''' in the ''info/'' folder and elsewhere]] |
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| * [:EMAN2/Symmetry:EMAN2 and the asymmetric unit] * [:EMAN2/TransformConventions:Transformations in the context of Projections, Reconstructions, and in General] * [:EMAN2/AlignersDescription:More information regarding the aligners] |
=== Mathematical Conventions === * [[EMAN2/BoxSize|Particle '''box-size''' and refinement speed, what size to use]] * [[EMAN2/AngStep|'''Angular sampling''', number of projection and resolution]] * [[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 {{attachment:single_image_iso_c.png}} |
EMAN2 Concepts and Conventions
Data Storage
Mathematical Conventions
Particle '''box-size''' and refinement speed, what size to use
3D and 2D '''Transformations''' (rotation, translation, etc.)
'''Symmetry''' in EMAN2, and generating projections in an asymmetric unit
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.
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
