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| == EMAN2 Concepts and Conventions == | = EMAN2 Concepts and Conventions = |
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| This page describes some important concepts in EMAN2 | === Box Size (Important) === * Particle [[EMAN2/BoxSize|box-size]] - Impacts quality and speed of reconstructions! |
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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] |
=== Data Storage === * Supported [[Eman2DataStorage|image file formats]] and usage * How EMAN2 stores data in [[Eman2HDF|HDF5 files]] * [[Eman2Metadata|Header information]] (key/value pairs) associated with a specific image * Information stored in [[Eman2InfoMetadata|JSON files]] in the ''info/'' folder and elsewhere * Setting local and global [[EMAN2/ApplicationPreferences|application preferences]] * [[Eman2OtherFiles|Other misc. files]] such as .box and .lst === Mathematical Conventions === * [[EMAN2/Symmetry|Symmetry]] in EMAN2, and generating projections in an asymmetric unit * [[EMAN2/AngStep|Angular sampling]], number of projection and resolution * 3D and 2D [[Eman2TransformInPython|Transformations]] (rotation, translation, etc.) * [[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. ''Note: These pages are often out of date. For up to date details please run'' {{{e2help.py <object type> -v 2}}} * [[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
Box Size (Important)
Particle box-size - Impacts quality and speed of reconstructions!
Data Storage
Supported image file formats and usage
How EMAN2 stores data in HDF5 files
Header information (key/value pairs) associated with a specific image
Information stored in JSON files in the info/ folder and elsewhere
Setting local and global application preferences
Other misc. files such as .box and .lst
Mathematical Conventions
Symmetry in EMAN2, and generating projections in an asymmetric unit
Angular sampling, number of projection and resolution
3D and 2D Transformations (rotation, translation, etc.)
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.
Note: These pages are often out of date. For up to date details please run e2help.py <object type> -v 2
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
