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| * The old SPR tutorial - [[attachment:workflow_tutorial_2010_08_25.pdf|Full tutorial on single particle reconstruction using the workflow]] (uses [[http://blake.grid.bcm.edu/dl/data/workshop5.iso|Workshop demo data DVD]]) | * The old SPR tutorial (2008 Workshop) - [[attachment:workflow_tutorial_2010_08_25.pdf|Full tutorial on single particle reconstruction using the workflow]] (uses [[http://blake.grid.bcm.edu/dl/data/workshop5.iso|Workshop demo data DVD]]) |
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| * [[attachment:rct_tutorial.pdf|Tutorial on using EMAN2 for Random Conical Tilt reconstructions]] | * [[OxfordWs2012|The Validation tutorial from the Oxford 2012 EMAN2 workshop, compatible with EMAN Nightly Build (Data on same page)]] * [[attachment:rct_tutorial.pdf|Tutorial on using EMAN2 for Random Conical Tilt reconstructions]] (not complete) |
EMAN2 TUTORIALS
Beginners (introductory tutorials)
Please note that we are continuously developing and updating the tutorials. Items that are greyed out are planned but the tutorials have not yet been completed. If you have a request for a particular tutorial please feel free to email sludtke@bcm.edu.
==== Single particle analysis (SPA) - 2D particles====
The old SPR tutorial (2008 Workshop) - Full tutorial on single particle reconstruction using the workflow (uses Workshop demo data DVD)
The NEW tutorial from the 2011 EMAN2 workshop, compatible with EMAN 2.01 (Data on same page)
Tutorial on using EMAN2 for Random Conical Tilt reconstructions (not complete)
==== Single particle tomography (SPT) - 3D particles====
- NEW single particle tomography USERS' GUIDE. [Partially used for the SPT tutorial at the 2011 EMAN2 workshop].
UPDATED on July 4, 2011. It SHOULD be a valid PDF. If not, please report it, and try to open in with OpenOffice or Word.
2D assessment of heterogeneity
Advanced (EMAN2 through the ''e2.py'' Python prompt)
* Generate and display an EMAN2 test image
* Rotate, translate, scale or mirror an image
* Add and multiply images, add and multiply by constants
* Convert a real/imaginary image into an amplitude/phase image and vice versa
* Iterate through the pixels of an image
* Make a projection of a 3D model, project through the asymmetric unit
