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| This page has links to very short demos/tutorials in EMAN2. Please forward any requests to the EMAN2 developors. | == Beginners: Introductory Tutorials == |
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| == Using Python or e2.py == | ==== 2D single particle analysis ==== * 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]]) * [[Ws2011/Eman2|The NEW tutorial from the 2011 EMAN2 workshop, compatible with EMAN 2.01]] ==== 3D single particle tomography ==== * NEW single particle tomography USERS' GUIDE. [Partially used for the SPT tutorial from the 2011 EMAN2 workshop]. [[attachment:e2spt_users_guide.pdf| e2spt_users_guide.pdf|&do=get]] ==== 2D assessment of heterogeneity ==== * [[attachment:population_dynamics_2009_11.pdf|Full tutorial on 2-D analysis for assessment of structural heterogeneity and population dynamics]] == Advanced Users: Using EMAN2 through a Python prompt (e2.py) == |
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| * [[EMAN2/Tutorials/iter_pixels| Iterate through the pixels of an image ]] | * [[EMAN2/Tutorials/iter_pixels|Iterate through the pixels of an image]] * [[EMAN2/Tutorials/make_a_projection|Make a projection of a 3D model, project through the asymmetric unit]] {{attachment:2d_image_3dplot_2.png}} |
Beginners: Introductory Tutorials
2D single particle analysis
* The old SPR tutorial - 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
3D single particle tomography
* NEW single particle tomography USERS' GUIDE. [Partially used for the SPT tutorial from the 2011 EMAN2 workshop].
2D assessment of heterogeneity
* Full tutorial on 2-D analysis for assessment of structural heterogeneity and population dynamics
Advanced Users: Using EMAN2 through a Python prompt (e2.py)
* 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
