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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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 * 2018 May Tutorial for EMAN2.21a
  * [[attachment:EMAN2-21Tutorial.pdf||&do=get]] (version 1)
   * [[http://blake.bcm.edu/dl/workshop_2016_bgal.zip|Tutorial Data Download]]
 * 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]]
 * [[Ws2015|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.

 * [[EMAN2/Programs/convnet_pickparticle|tutorial for the Neural network particle picker]] (requires CUDA for good performance)
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 * [[Ws2014|Tutorial from the 2014 Workshops in Shanghai, Brisbane and online]] - Based on EMAN2.1 beta4. Full single particle reconstruction tutorial
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==== Single particle tomography (SPT) - 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:
==== Complete workflow for cellular tomography and subtomogram averaging ====
 * [[e2tomo|EMAN2 tomography workflow tutorial]]
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 * [[SPT/Spt|Single particle tomography]]

==== 2D assessment of heterogeneity ====
 * [[attachment:population_dynamics_2009_11.pdf|Full tutorial on 2-D analysis for assessment of structural heterogeneity and population dynamics]] (under construction)
==== Automated Cellular Tomogram Annotation using Neural Networks ====
 * [[EMAN2/Programs/tomoseg|Tomogram Annotation]]
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 * [[SPT/Spt|Single particle tomography]] - Tutorial for deprecated Single particle tomography (SPT) workflow.
 * [[Ws2014|Tutorial from the 2014 Workshops in Shanghai, Brisbane and online]] - Based on EMAN2.1 beta4. Full single particle reconstruction tutorial
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== Advanced (EMAN2 through the ''e2.py'' Python prompt) ==
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== Advanced (EMAN2 through the ''e2.py'' Python prompt) ==

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

Single particle analysis (SPA) - 2D particles

Complete workflow for cellular tomography and subtomogram averaging

Automated Cellular Tomogram Annotation using Neural Networks

Using the Built-In Modules from Other Software

Out of date tutorials (provided for data access, etc.)

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

2d_image_3dplot_2.png

* Change log level in EMAN2

EMAN2/Tutorials (last edited 2024-04-05 01:51:27 by MuyuanChen)