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The material on this page is distributed as Open Educational Resource (OER) under a [CC-BY-NC-SA](http://creativecommons.org/licenses/by-nc-sa/4.0/) licence.
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You may freely copy, reuse, adapt and distribute the material in any form compliant with this licence.
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<small>© Copyright 2019, Arjen J. Jakobi <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><b>CC-BY-NC-SA</b></a></small>
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### Practical 2.5 – 3D reconstruction by projection matching and Maximum Likelihood methods
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* How to reconstruct 2D class averages from randomly oriented particle images
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TODO, Jupyter Notebook currently work in progress
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### Practical 3 – Introduction to electron tomography
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### [Practical 3 – Introduction to electron tomography](https://edu.nl/7kakp)
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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/git/https%3A%2F%2Fgitlab.tudelft.nl%2Faj-lab%2Fteaching/master?filepath=binder%2Fhri_practical03.ipynb)
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or visit [https://edu.nl/7kakp](https://edu.nl/7kakp)
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<small>© Copyright 2018-2020, S.T. Huber, A. Bharadwaj, Arjen J. Jakobi <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><b>CC-BY-NC-SA</b></a></small>
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[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/git/https%3A%2F%2Fgitlab.tudelft.nl%2Faj-lab%2Fteaching/master?filepath=binder%2Fhri_practical03.ipynb) |
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