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auto_2d_class_selection [2019/12/16 10:38] twagner [Changelog] |
auto_2d_class_selection [2019/12/16 10:45] twagner [Cinderella: Deep learning based binary classification tool] |
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- | ====== Cinderella: Deep learning based 2D class and micrograph selection ====== | + | ====== Cinderella: Deep learning based binary classification tool ====== |
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- | + | Our binary classification tool (**Cinderella**) is based on a deep learning network to classify class averages, micrographs or subtomograms into good and bad categories. | |
- | Our 2d class and micrograph selection tool (**Cinderella**) is based on a deep learning network to separate 2D classes or micrographs into good and bad. | + | 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 2D classes, it supports .hdf/.mrcs and for micrographs .mrc format. | + | Cinderella was written to automate cryo-em data processing. It's open source and easy to use. |
- | Cinderella provides a pretrained general model for classifying 2D classes and 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/micrographs. | + | We provide a pretrained general model for classifying class averages.([[auto2d_tutorial|see tutorial]]). But you can easily train it with your own set of classes/micrographs/subtomograms. |
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