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--- auto_2d_class_selection [2019/12/16 10:37]
twagner
+++ auto_2d_class_selection [2019/12/16 10:45]
twagner [Cinderella: Deep learning based binary classification tool]
@@ Line 1: / Line 1: @@
-====== Cinderella: Deep learning based 2D class and micrograph selection ======
+====== Cinderella: Deep learning based binary classification tool ======
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@@ Line 8: / Line 8: @@
 ----
+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.
 <note>
@@ Line 51: / Line 51: @@
 === Version 0.5 ===
-  * Add support from subtomograms
+  * Add support for subtomograms
   * Faster file reading

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