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auto_2d_class_selection [2019/12/16 10:38]
twagner [Changelog]
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 classesmicrographs 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/.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 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.
  
auto_2d_class_selection.txt · Last modified: 2020/08/27 15:11 by twagner