auto_2d_class_selection

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
Next revision Both sides next revision
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:
 ---- ----
  
-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.
  
 <​note>​ <​note>​
  • auto_2d_class_selection.txt
  • Last modified: 2020/08/27 15:11
  • by twagner