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--- auto_2d_class_selection [2020/08/27 12:25]
twagner [Changelog]
+++ auto_2d_class_selection [2020/08/27 12:56]
fschoenfeld
@@ Line 9: / Line 9: @@
 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 class averages, it supports .hdf/.mrcs, for micrographs .mrc format and for subtomograms it expect that they are saved in a .hdf file.
+Cinderella supports ''.hdf/.mrcs'' ** files for class averages**, ''.mrc'' **files for micrographs**, and ''.hdf'' **files for subtomograms**.
-Cinderella was written to automate cryo-em data processing.  It's open source and easy to use.
+**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.
+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, and/or subtomograms.
 <note>
-  * **License**: MIT
+  * **License**: [[https://github.com/MPI-Dortmund/sphire_classes_autoselect/blob/master/LICENSE|MIT]]
-  * **GitHub repository**: https://github.com/MPI-Dortmund/sphire_classes_autoselect
+  * **Repository**: [[https://github.com/MPI-Dortmund/sphire_classes_autoselect|GitHub]]
 </note>

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