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auto_2d_class_selection [2019/07/11 12:49] twagner [Changelog] |
auto_2d_class_selection [2019/07/11 14:02] twagner |
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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. | ||
< | < | ||
- | * **License**: | + | **License**: |
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+ | **GitHub repository**: | ||
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Here are a couple of examples for good / bad classes in Cinderella: | Here are a couple of examples for good / bad classes in Cinderella: | ||
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[[auto2d_tutorial# | [[auto2d_tutorial# | ||
+ | ====Archive==== | ||
Old version of cinderella and the pretrained model can be found in the [[cinderella_archive|archive]] | Old version of cinderella and the pretrained model can be found in the [[cinderella_archive|archive]] | ||