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EMAN 1.8

released 01/2007

IMPORTANT NOTE: You MUST create an account for yourself if you wish to add content to the Wiki. To do this, click on the Login button above, then follow the UserPreferences link.

The EMAN1 Wiki is just getting started, and will likely never be as complete as the [:EMAN2:EMAN2 Wiki] (EMAN1 is gradually being deprecated in favor of EMAN2, and the EMAN1 static documentation is fairly complete). Please feel free to contribute your own comments and ideas.

  • [:EMAN1/Install:Installation Instructions/Tips]

  • [http://blake.bcm.tmc.edu/eman/eman1/ Static (non Wiki) Documentation]

  • [:EMAN1/SPAOverview:Overview of single particle reconstruction]

  • [:EMAN1/Programs:Documentation of individual programs]

  • [:EMAN1/Library:Python/C++ Library Docs (EMAN2 preferred)]

  • [:EMAN1/FAQ:Frequently Asked Questions (add your general questions here)]

  • [:EMAN1/Projects:Questions on specific projects (add your project-specific questions here)]

About EMAN

EMAN is a suite of scientific image processing tools aimed primarily at the transmission electron microscopy community, though it is beginning to be used in other fields as well. For example it can do an admirable job aligning images for amateur astronomers. EMAN has a particular focus on performing a task known as single particle reconstruction. In this method, images of nanoscale molecules and molecular assemblies embedded in vitreous (glassy) ice are collected on a transmission electron microscope, then processed using EMAN to produce a complete 3-D recosntruction at resolutions now approaching atomic resolution. For low resolution structures (~2 nm), this may require ~8 hours of computer processing and a few thousand particles. For structures aimed at ~0.5 nm or better resolution, hundreds of thousands of particles and hundreds of thousands of CPU-hours (on large computational clusters) may be required. Indeed, EMAN is often used in supercomputing facilities as a test application for large-scale computing.

EMAN1 (last edited 2019-01-28 20:05:29 by SnekaRaveendran)