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| ==== Short tutorials and info sheets ==== * [[EMAN2/NegativeStain]] - special issues that impact processing negative stain single particle images * [[attachment:image_info.pdf|Information about images]] * [[attachment:image_proc.pdf|Filtering and basic image processing]] * [[attachment:ctf_sim.pdf|CTF Simulator]] |
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| * 2017 February Tutorial for EMAN2.2 * [[attachment:EMAN2-2Tutorial.pdf||&do=get]] * [[http://blake.bcm.edu/dl/workshop_2016_bgal.zip|Tutorial Data Download]] * 2016 Summer Tutorial for EMAN2.12 June 2016 snapshots * [[attachment:EMAN2-13_pre_Tutorial.pdf||&do=get]] * [[http://blake.bcm.edu/dl/workshop_2016_bgal.zip|Tutorial Data Download]] * [[attachment:EMAN2-13_pre_Heterogeneity.pdf||&do=get]] * see also: http://www.sciencedirect.com/science/article/pii/S0076687916300362 * 2015 Fall Tutorial for EMAN2.12 * [[attachment:EMAN2-12_Tutorial.pdf||&do=get]] * Required data - [[attachment:Bgal.zip||&do=get]] * [[attachment:EMAN2-12_Tutorial2_heterogeneity.pdf||&do=get]] * Required data - [[attachment:ribosome.zip||&do=get]] |
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* [[EMAN2/Programs/convnet_pickparticle|tutorial for the Neural network particle picker]] (requires CUDA for good performance) |
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| * [[EMAN2/Programs/convnet_pickparticle|An experimental new particle picker]] (requires installation of additional libraries) | |
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| ==== Single particle tomography (SPT) - 3D particles ==== | ==== Single particle tomography (SPT) - subtomogram averaging - 3D Particles ==== |
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==== Automated Cellular Tomogram Annotation using Neural Networks ==== * [[EMAN2/Programs/tomoseg|Tomogram Annotation]] |
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. Most tutorials include the necessary data. If you have a request for a particular tutorial please feel free to email sludtke@bcm.edu.
Video tutorials and discussions
Written Tutorials
Short tutorials and info sheets
EMAN2/NegativeStain - special issues that impact processing negative stain single particle images
Single particle analysis (SPA) - 2D particles
- 2017 February Tutorial for EMAN2.2
- 2016 Summer Tutorial for EMAN2.12 June 2016 snapshots
- 2015 Fall Tutorial for EMAN2.12
Required data - Bgal.zip
Required data - ribosome.zip
2015 Workshop Tutorials and Demo data - This includes updated tutorials on both high resolution single particle analysis and 2D/3D heterogeneity analysis along with sample data, freshly updated for the EMAN2.12 release. The workshop also included a number of other related topics also available on that page.
tutorial for the Neural network particle picker (requires CUDA for good performance)
EMAN1 to EMAN2 Transition Guide - Also with useful quickstart guides for users of other software
Single particle tomography (SPT) - subtomogram averaging - 3D Particles
BOTH the tutorial in .pdf format and the data needed for the tutorial in a .zip file are provided in the page linked below:
Automated Cellular Tomogram Annotation using Neural Networks
Using the Built-In Modules from Other Software
Out of date tutorials (provided for data access, etc.)
Tutorial from the 2014 Workshops in Shanghai, Brisbane and online - Based on EMAN2.1 beta4. Full single particle reconstruction tutorial
Single particle reconstruction tutorial from 2008 Workshop ( - Full tutorial on single particle reconstruction using the workflow (uses Workshop demo data DVD)
Tutorial from the 2011 EMAN2 workshop (Data on same page) - Based on EMAN2.01. Full single particle reconstruction tutorial
Tutorial from the 2012 Workshop in Singapore (Data on same page) - Based on EMAN2.06. Full single particle reconstruction tutorial
Tutorial from the 2013 Workshop in Beijing (Data on same page) - Based on EMAN2.1alpha. Full single particle reconstruction tutorial
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
