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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]] * [[Eman2DataStorage|File Formats, Data storage conventions, and the internal database (what is BDB: ?)]] * [[Eman2NFS|Practical Advice on EMAN2 in environments with network-shared directories (like NFS)]] * [[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]] * [[Eman2Metadata|Parameters/Metadata appearing in EMData attributes (and stored on disk with the image), accessed with get_attr and set_attr]] * [[Eman2AppMetadata|Parameters/Metadata for applications, not associated with a specific image, stored in bdb:project]] |
=== 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 * [[Eman2OtherFiles|Other misc. files]] such as .box and .lst |
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| === Modular classes in EMAN2 === * [[EMAN2/Modular/Procesor|Processors]] - Filters, masks and other basic image processing operations |
=== Mathematical Conventions === * Particle [[EMAN2/BoxSize|box-size]] and refinement speed, what size to use * [[EMAN2/AngStep|Angular sampling]], number of projection and resolution * 3D and 2D [[Eman2TransformInPython|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 |
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| === 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. * [[EMAN2/ProjectionFiles|Map projection files (projections_xx, proj_stg1_xx)]] * [[EMAN2/SimmxFiles|Similarity matrix image files (simmx_xx, simmx_stg1_xx, proj_simmx_xx)]] * [[EMAN2/ClassmxFiles|Classification matrix image files (classify_xx)]] * [[EMAN2/ClsResultFiles|Class-Averaging Results matrix image files (cls_result_xx)]] * [[EMAN2/ClassesFiles|Class-averages (classes_xx)]] * [[EMAN2/ThreedFiles|3-D reconstructions (threed_xx, threed_filt_xx, threed_mask_xx)]] |
EMAN2 Concepts and Conventions
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
Other misc. files such as .box and .lst
Mathematical Conventions
Particle box-size and refinement speed, what size to use
Angular sampling, number of projection and resolution
3D and 2D Transformations (rotation, translation, etc.)
Symmetry in EMAN2, and generating projections in an asymmetric unit
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.
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
