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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Vydáno v:	Journal of structural biology Ročník 157; číslo 1; s. 38 - 46
Hlavní autoři:	Tang, Guang, Peng, Liwei, Baldwin, Philip R., Mann, Deepinder S., Jiang, Wen, Rees, Ian, Ludtke, Steven J.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Inc 2007
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Abstract	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.
AbstractList	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.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. 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.
Author	Rees, Ian Baldwin, Philip R. Tang, Guang Mann, Deepinder S. Jiang, Wen Peng, Liwei Ludtke, Steven J.
Author_xml	– sequence: 1 givenname: Guang surname: Tang fullname: Tang, Guang organization: National Center for Macromolecular Imaging, Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA – sequence: 2 givenname: Liwei surname: Peng fullname: Peng, Liwei organization: National Center for Macromolecular Imaging, Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA – sequence: 3 givenname: Philip R. surname: Baldwin fullname: Baldwin, Philip R. organization: The University of Texas – Houston Medical Center, Department of Biochemistry and Molecular Biology, Houston, TX 77030, USA – sequence: 4 givenname: Deepinder S. surname: Mann fullname: Mann, Deepinder S. organization: National Center for Macromolecular Imaging, Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA – sequence: 5 givenname: Wen surname: Jiang fullname: Jiang, Wen organization: Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA – sequence: 6 givenname: Ian surname: Rees fullname: Rees, Ian organization: National Center for Macromolecular Imaging, Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA – sequence: 7 givenname: Steven J. surname: Ludtke fullname: Ludtke, Steven J. email: sludtke@bcm.tmc.edu organization: National Center for Macromolecular Imaging, Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/16859925$$D View this record in MEDLINE/PubMed
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Snippet	EMAN is a scientific image processing package with a particular focus on single particle reconstruction from transmission electron microscopy (TEM) images. It...
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SubjectTerms	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
Title	EMAN2: An extensible image processing suite for electron microscopy
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