EMAN2.2

Most of the pages are editable by any user that has registered an account on the server. To prevent spam, you need to email sludtke@bcm.edu to get an account on the system if you wish to contribute changes. If you just wish to browse, you don't need an account.

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.

Please also note that this is not the (related) EMEN2 electronic notebook, but is EMAN2, a scientific image processing suite.

Please Cite

EMAN is free software, supported by NIH Grants. It is critical that you cite EMAN2 when you use it in a publication in any significant way, to help us document usage when trying to renew our funding. Feel free to cite any of these:

• Primary EMAN2 paper:

  • G. Tang, L. Peng, P.R. Baldwin, D.S. Mann, W. Jiang, I. Rees & S.J. Ludtke. (2007) EMAN2: an extensible image processing suite for electron microscopy. J Struct Biol. 157, 38-46. PMID: 16859925

• EMAN2 high resolution refinement methods:

  • J.M. Bell, M. Chen, P.R. Baldwin & S.J. Ludtke. (2016) High Resolution Single Particle Refinement in EMAN2.1. Methods. 100, 25-34. PMC4848122

• Methods for analysis of conformational and compositional variability:

  • Ludtke, S. J. "Single-Particle Refinement and Variability Analysis in EMAN2.1." in Methods Enzymol 579159-189 (Elsevier, United States, 2016). PMC5101015

• Methods for subtomogram averaging:

  • J.G. Galaz-Montoya, C.W. Hecksel, P.R. Baldwin, E. Wang, S.C. Weaver, M.F. Schmid, S.J. Ludtke & W. Chiu. (2016) Alignment algorithms and per-particle CTF correction for single particle cryo-electron tomography. J Struct Biol. 194, 383-394. PMC4846534

Download EMAN2

• EMAN2.2 Release Notes

• Download EMAN2 binaries

• Dowload EMAN2 source

Install EMAN2

• Installation Guides (binary and source)

• EMAN2 Remote GUI use (for clusters and remote workstations)

Documentation

• Live Tutorials

  • Past video tutorials: https://www.youtube.com/c/SteveLudtke

• User Documentation

  • Tutorials (START HERE!)

  • File Descriptions (Folders and files in an EMAN2 Project)

  • [[EMAN2/Concepts|Standards (File Formats, Symmetry, Box Size, etc.)]

  • Programs (Individual Program Documentation)

  • Clusters (Running EMAN2 on clusters and multi-core workstations)

  • GPGPU Computing (use the graphics processor for image processing)

  • Galleries

  • EMAN1 -> EMAN2 Transition Guide

  • Obsolete Pages

• FAQ - Please ask your questions in the Google Group, answers to common questions will be posted here as well as in the Group

• Mailing list for EMAN2 discussions:

  • http://groups.google.com/group/eman2

  • eman2@googlegroups.com (must join the group before you can post)

  • http://groups.google.com/group/eman2-developers (This is the group for discussions among developers, likely less interesting for users)

• Advanced Users & Programmers

  • GitHub (Transitioning from CVS to Git)

  • Python/C++ Programmers Documentation

  • Direct link to docs for EMData (image) class

  • Direct link to docs for Transform (orientation/Euler angle) class

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.

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.