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auto_2d_class_selection [2019/07/11 14:02]
twagner
auto_2d_class_selection [2019/07/11 14:03]
twagner
Line 11: Line 11:
 Our automatic 2d class selection tool (**Cinderella**) is based on a deep learning network to seperate 2D classes from .hdf / .mrcs files into good and bad classes. It uses the same deep neural network as crYOLO and was pretrained on a set good / bad classes. Cinderella was written to automate cryo-em data processing. It's open source and easy to use ([[auto2d_tutorial|see tutorial]]). You can easily train it with your own set of classes. Our automatic 2d class selection tool (**Cinderella**) is based on a deep learning network to seperate 2D classes from .hdf / .mrcs files into good and bad classes. It uses the same deep neural network as crYOLO and was pretrained on a set good / bad classes. Cinderella was written to automate cryo-em data processing. It's open source and easy to use ([[auto2d_tutorial|see tutorial]]). You can easily train it with your own set of classes.
 <note> <note>
-**License**: MIT +  * **License**: MIT 
- +  **GitHub repository**: https://github.com/MPI-Dortmund/sphire_classes_autoselect
-**GitHub repository**: https://github.com/MPI-Dortmund/sphire_classes_autoselect+
 </note> </note>
 Here are a couple of examples for good / bad classes in Cinderella:  Here are a couple of examples for good / bad classes in Cinderella: 
auto_2d_class_selection.txt · Last modified: 2020/08/27 15:11 by twagner