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auto_2d_class_selection [2019/12/16 10:37] twagner |
auto_2d_class_selection [2019/12/16 10:43] twagner |
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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 2D classes, 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 2D classes, 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 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. | 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. | ||
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| === Version 0.5 === | === Version 0.5 === | ||
| - | * Add support from subtomograms | + | * Add support for subtomograms |
| * Faster file reading | * Faster file reading | ||