EMAN2: An extensible image processing suite for electron microscopy

EMAN is a scientific image processing package with a particular focus on single particle reconstruction from transmission electron microscopy (TEM) images. It was first released in 1999, and new versions have been released typically 2–3 times each year since that time. EMAN2 has been under developme...

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Veröffentlicht in:Journal of structural biology Jg. 157; H. 1; S. 38 - 46
Hauptverfasser: Tang, Guang, Peng, Liwei, Baldwin, Philip R., Mann, Deepinder S., Jiang, Wen, Rees, Ian, Ludtke, Steven J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Elsevier Inc 2007
Schlagworte:
Algorithms
Computational Biology
cryoEM
Electron microscopy
EMAN
Image processing
Image Processing, Computer-Assisted - methods
Microscopy, Electron - methods
Single particle analysis
Software
Software Design
Structural Homology, Protein
TEM
cryoEM
Image processing
EMAN
Single particle analysis
Software
Electron microscopy
TEM
ISSN:1047-8477, 1095-8657
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:EMAN is a scientific image processing package with a particular focus on single particle reconstruction from transmission electron microscopy (TEM) images. It was first released in 1999, and new versions have been released typically 2–3 times each year since that time. EMAN2 has been under development for the last two years, with a completely refactored image processing library, and a wide range of features to make it much more flexible and extensible than EMAN1. The user-level programs are better documented, more straightforward to use, and written in the Python scripting language, so advanced users can modify the programs’ behavior without any recompilation. A completely rewritten 3D transformation class simplifies translation between Euler angle standards and symmetry conventions. The core C++ library has over 500 functions for image processing and associated tasks, and it is modular with introspection capabilities, so programmers can add new algorithms with minimal effort and programs can incorporate new capabilities automatically. Finally, a flexible new parallelism system has been designed to address the shortcomings in the rigid system in EMAN1.
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ISSN:1047-8477
1095-8657
DOI:10.1016/j.jsb.2006.05.009