... | ... | @@ -26,22 +26,6 @@ In order to execute these code fields you need to click on the field (which beco |
|
|
__You can find the solutions to this practical in the solutions folder when launching binder.__
|
|
|
<br>
|
|
|
|
|
|
### Practical 2 – 3D reconstruction of human Apoferritin using cryoSPARC
|
|
|
|
|
|
__In this is practical assignment you will learn:__
|
|
|
|
|
|
* What the basic steps of a 3D reconstruction workflow using cryo-EM data entail.
|
|
|
* How to generate 2D class averages from extracted raw particles.
|
|
|
* How to analyse the quality of 2D and 3D classifications.
|
|
|
* How to visualise the results from a 3D reconstruction using molecular graphics software.
|
|
|
|
|
|
You can find the practical instructions [here](https://gitlab.tudelft.nl/aj-lab/teaching/blob/master/pdf/NB4020_SPA_image_processing_practical.pdf).
|
|
|
|
|
|
#### References
|
|
|
|
|
|
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.
|
|
|
You may freely copy, reuse, adapt and distribute the material in any form compliant with this licence.
|
|
|
|
|
|
### Practical 2.5 – 3D reconstruction by projection matching and Maximum Likelihood methods
|
|
|
|
|
|
* How to reconstruct 2D class averages from randomly oriented particle images
|
... | ... | |