auto_2d_class_selection

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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]
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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/.mrcsfor 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>​ <​note>​
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 === Version 0.5 === === Version 0.5 ===
-  * Add support ​from subtomograms+  * Add support ​for subtomograms
   * Faster file reading   * Faster file reading
  
  • auto_2d_class_selection.txt
  • Last modified: 2020/08/27 15:11
  • by twagner