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Revision 5 as of 2006-11-29 21:49:53
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The EMAN1 Wiki isn't as complete as the EMAN2 Wiki, as EMAN1 is gradually
being deprecated in favor of the latter, and the EMAN1 static documentation
is fairly complete. Both EMAN1 and EMAN2 can be installed simultaneously, and
EMAN2 does not yet allow complete reconstructions.
The EMAN1 Wiki is just getting started, and will likely never be as complete as the [EMAN2 EMAN2 Wiki], as EMAN1 is gradually being deprecated in favor of the latter, and the EMAN1 static documentation is fairly complete. Both EMAN1 and EMAN2 can be installed simultaneously, and EMAN2 does not yet allow complete reconstructions.
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 * [wiki:/Install Installation Instructions/Tips]  * [:EMAN1/Install:Installation Instructions/Tips]
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 * [wiki:/SPAOverview Overview of single particle reconstruction]
 * [wiki:/Programs Documentation of individual programs]
 * [wiki:/Library Python/C++ Library Docs (EMAN2 preferred)]

 * [:EMAN1/SPAOverview:Overview of single particle reconstruction]
 * [:EMAN1/Programs:Documentation of individual programs]
 * [:EMAN1/Library:Python/C++ Library Docs (EMAN2 preferred)]
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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.
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.

EMAN 1.8

released 11/2006

The EMAN1 Wiki is just getting started, and will likely never be as complete as the [EMAN2 EMAN2 Wiki], as EMAN1 is gradually being deprecated in favor of the latter, and the EMAN1 static documentation is fairly complete. Both EMAN1 and EMAN2 can be installed simultaneously, and EMAN2 does not yet allow complete reconstructions.

  • [: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)]

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)