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auto_2d_class_selection [2019/12/05 09:29]
twagner 		auto_2d_class_selection [2019/12/09 15:43]
twagner
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-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 classes. For 2D classes, it supports .hdf/.mrcs and for micrographs .mrc format.  +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.  
-Cinderella uses the same deep neural network as crYOLO and provides a pretrained general model for classifying 2D classes. Cinderella 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.+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.
  
 <note> <note>
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 {{ ::cinderellea.png?450 |}} {{ ::cinderellea.png?450 |}}
  
-====== The Model ======+====== 2D class selection model ======
 Our model was trained on a set of 2D classes from ISAC. During the creation of the training dataset, I tried to ask myself "Which class would I select If I would not know the particle?" to decide which is a good class. Our model was trained on a set of 2D classes from ISAC. During the creation of the training dataset, I tried to ask myself "Which class would I select If I would not know the particle?" to decide which is a good class.
 <note important> <note important>
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 ====== Download ====== ====== Download ======
 ====Cinderella==== ====Cinderella====
-Version: 0.3.1+Version: 0.4.0
  
-Uploaded: 29. July 2019+Uploaded: 05. December 2019
  
 [[https://pypi.org/project/cinderella/#files|DOWNLOAD]] [[https://pypi.org/project/cinderella/#files|DOWNLOAD]]
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 ====Archive==== ====Archive====
-Old version of cinderella and the pretrained model can be found in the [[cinderella_archive|archive]]+Old versions of cinderella and the pretrained model can be found in the [[cinderella_archive|archive]]
  
 ====Changelog==== ====Changelog====
 === Version 0.4 === === Version 0.4 ===
   * Apply weights if good / bad training classes are unbalanced   * Apply weights if good / bad training classes are unbalanced
-  * It is no possible to train cinderella to select micrographs+  * It is now possible to train cinderella to select micrographs
   * Updated the general model for 2D class selection.   * Updated the general model for 2D class selection.
  
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 ====== Tutorial ====== ====== Tutorial ======
-[[auto2d_tutorial|We created a tutorial how to use Cinderella!]]+[[auto2d_tutorial|We created a tutorial how to use Cinderella for 2D class selection!]]
auto_2d_class_selection.txt · Last modified: 2020/08/27 15:11 by twagner

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