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In this practical you will apply your knowledge from the previous practicals to explore 3D reconstruction using tomographic imaging. You will learn about back-projection methods, the importance of sampling and the effect of missing information on image reconstruction.
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This interactive practical uses the following dependencies:
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* [numpy](https://www.numpy.org/)
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* [nglview](http://nglviewer.org/nglview/latest/)
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* [mdanalysis](https://www.mdanalysis.org/)
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* [matplotlib](https://matplotlib.org/)
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### Practical 4 – 3D reconstruction of human Apoferritin using cryoSPARC
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### [Practical 4 – 3D reconstruction of human Apoferritin using cryoSPARC](https://gitlab.tudelft.nl/aj-lab/teaching/blob/master/pdf/NB4020_SPA_image_processing_practical.pdf)
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__In this is practical assignment you will learn:__
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... | ... | @@ -45,8 +40,6 @@ __In this is practical assignment you will learn:__ |
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* How to analyse the quality of 2D and 3D classifications.
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* How to visualise the results from a 3D reconstruction using molecular graphics software.
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You can find the practical instructions [here](https://gitlab.tudelft.nl/aj-lab/teaching/blob/master/pdf/NB4020_SPA_image_processing_practical.pdf).
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<small>© Copyright 2018-2020, Arjen J. Jakobi, Stefan T. Huber, Alok Bharadwaj <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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<small>The material in this repository is distributed as Open Educational Resource (OER) under a [CC-BY-NC-ND](http://creativecommons.org/licenses/by-nc-nd/4.0/) licence.
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