Differences

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--- auto_2d_class_selection [2019/12/16 10:43]
twagner
+++ auto_2d_class_selection [2019/12/16 10:45]
twagner [Cinderella: Deep learning based binary classification tool]
@@ Line 8: / Line 8: @@
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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 binary classification  tool (**Cinderella**) is based on a deep learning network to classify class averages, micrographs or subtomograms into good and bad categories.
-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 class averages, it supports .hdf/.mrcs, for micrographs .mrc format and for subtomograms it expect that they are saved in a .hdf file.
-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 was written to automate cryo-em data processing.  It's open source and easy to use.
+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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