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| == EMAN2 alpha == Note that EMAN2 is still in alpha-testing. It can do some useful things, but is not completely stable yet. |
== EMAN2 == EMAN2 is the successor to [[EMAN1|EMAN1]]. It is a broadly based greyscale scientific image processing suite with a primary focus on processing data from transmission electron microscopes. EMAN's original purpose was performing single particle reconstructions (3-D volumetric models from 2-D cryo-EM images) at the highest possible resolution, but the suite now also offers support for single particle cryo-ET, and tools useful in many other subdisciplines such as helical reconstruction, 2-D crystallography and whole-cell tomography. EMAN2 is capable of processing very large data sets (>100,000 particle) very efficiently (up to 20x faster than EMAN1). '''''Please read this [[EMAN2/DatabaseWarning|Important Warning]]''''' |
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| * [[EMAN2/Tutorials|EMAN2 Tutorials, START HERE]] | * Please check this [[EMAN2/ChangeLog|CHANGELOG]] after upgrading to a new version |
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| * [[EMAN2/Workshop|EMAN2 Workshop Tutorial]] * [[EMAN2/Tutorials|EMAN2 Tutorials]] |
* [[EMAN2/Tutorials|EMAN2 Tutorials (START HERE!)]] * [[EMAN2/VideoTutorials|EMAN2 Video Tutorials (NEW)]] |
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| * [[EMAN2/Gpu|GPGPU Computing (use the graphics processor for image processing)]] | |
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| * [[http://blake.bcm.edu/bugzilla/|Use our bug tracking system to look for already reported problems or to report new problems]] | |
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| EMAN2 is now a fully usable reconstruction package, including initial parallelism support. However, it was designed so both EMAN1 and EMAN2 can be installed in the same user account with no conflicts, in case you need some EMAN1 functionality. All EMAN2 programs, including GUI programs are written in the easy-to-learn Python scripting language. This permits knowledgable end-users to customize any of the code with unprecendented ease. If you aren't an advanced user, you can still make use of all of EMAN2's command-line programs, all of which start with 'e2'. Any programs in EMAN2 with an EMAN1 equivalent are likely substantially improved over their EMAN1 equivalents. For example e2pdb2mrc.py is ~10x faster than the EMAN1 pdb2mrc. | EMAN2 is the successor to [[EMAN1|EMAN1]]. It is a broadly based greyscale scientific image processing suite with a primary focus on processing data from transmission electron microscopes. EMAN's original purpose was performing single particle reconstructions (3-D volumetric models from 2-D cryo-EM images) at the highest possible resolution, but the suite now also offers support for single particle cryo-ET, and tools useful in many other subdisciplines such as helical reconstruction, 2-D crystallography and whole-cell tomography. Image processing in a suite like EMAN differs from consumer image processing packages like Photoshop in that pixels in images are represented as floating-point numbers rather than small (8-16 bit) integers. In addition, image compression is avoided entirely, and there is a focus on quantitative analysis rather than qualitative image display. EMAN2 is now a fully usable reconstruction package, including parallelism support. However, in case you aren't ready to abandon EMAN1 yet, EMAN1 and EMAN2 can be installed in the same user account with no conflicts. All EMAN2 programs, including GUI programs, are written in the easy-to-learn Python scripting language. This permits knowledgeable end-users to customize any of the code with unprecedented ease. If you aren't an advanced user, you can still make use of the integrated GUI and all of EMAN2's command-line programs. Any programs in EMAN2 with an EMAN1 equivalent are likely substantially improved over their EMAN1 equivalents. For example e2pdb2mrc.py is ~10x faster than the EMAN1 pdb2mrc. 3-D refinements are typically 5-25x faster than in EMAN1 (with the correct options). |
EMAN2
EMAN2 is the successor to EMAN1. It is a broadly based greyscale scientific image processing suite with a primary focus on processing data from transmission electron microscopes. EMAN's original purpose was performing single particle reconstructions (3-D volumetric models from 2-D cryo-EM images) at the highest possible resolution, but the suite now also offers support for single particle cryo-ET, and tools useful in many other subdisciplines such as helical reconstruction, 2-D crystallography and whole-cell tomography. EMAN2 is capable of processing very large data sets (>100,000 particle) very efficiently (up to 20x faster than EMAN1).
Please read this Important Warning
Please check this CHANGELOG after upgrading to a new version
- User Documentation
Advanced Users & Programmers
Use our bug tracking system to look for already reported problems or to report new problems
About EMAN2
EMAN2 is the successor to EMAN1. It is a broadly based greyscale scientific image processing suite with a primary focus on processing data from transmission electron microscopes. EMAN's original purpose was performing single particle reconstructions (3-D volumetric models from 2-D cryo-EM images) at the highest possible resolution, but the suite now also offers support for single particle cryo-ET, and tools useful in many other subdisciplines such as helical reconstruction, 2-D crystallography and whole-cell tomography. Image processing in a suite like EMAN differs from consumer image processing packages like Photoshop in that pixels in images are represented as floating-point numbers rather than small (8-16 bit) integers. In addition, image compression is avoided entirely, and there is a focus on quantitative analysis rather than qualitative image display.
EMAN2 is now a fully usable reconstruction package, including parallelism support. However, in case you aren't ready to abandon EMAN1 yet, EMAN1 and EMAN2 can be installed in the same user account with no conflicts. All EMAN2 programs, including GUI programs, are written in the easy-to-learn Python scripting language. This permits knowledgeable end-users to customize any of the code with unprecedented ease. If you aren't an advanced user, you can still make use of the integrated GUI and all of EMAN2's command-line programs. Any programs in EMAN2 with an EMAN1 equivalent are likely substantially improved over their EMAN1 equivalents. For example e2pdb2mrc.py is ~10x faster than the EMAN1 pdb2mrc. 3-D refinements are typically 5-25x faster than in EMAN1 (with the correct options).
