This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
auto_2d_class_selection [2019/12/16 10:44] twagner [Cinderella: Deep learning based binary classification tool] |
auto_2d_class_selection [2019/12/16 14:07] twagner [Cinderella: Deep learning based binary classification tool] |
||
---|---|---|---|
Line 10: | Line 10: | ||
Our binary classification | Our binary classification | ||
For class averages, it supports .hdf/.mrcs, for micrographs .mrc format and for subtomograms it expect that they are saved in a .hdf file. | For class averages, it supports .hdf/.mrcs, for micrographs .mrc format and for subtomograms it expect that they are saved in a .hdf file. | ||
- | Cinderella | + | Cinderella was written to automate cryo-em data processing. |
+ | We provide a pretrained general model for classifying class averages.([[auto2d_tutorial|see tutorial]]). | ||
< | < | ||
Line 17: | Line 18: | ||
</ | </ | ||
- | Here are a couple of examples for good / bad classes in Cinderella: | ||
- | |||
- | {{ :: | ||
====== 2D class selection model ====== | ====== 2D class selection model ====== |