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auto_2d_class_selection [2019/12/10 11:10] twagner [Pretrained model] |
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 | |
- | Our 2d class and micrograph selection | + | For 2D classes, it supports .hdf/.mrcs, for micrographs .mrc format |
- | For 2D classes, it supports .hdf/ | + | |
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/ | 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/ | ||
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====== Download ====== | ====== Download ====== | ||
====Cinderella==== | ====Cinderella==== | ||
- | Version: 0.4.0 | + | Version: 0.5.0 |
- | Uploaded: | + | Uploaded: |
[[https:// | [[https:// | ||
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====Changelog==== | ====Changelog==== | ||
+ | |||
+ | === Version 0.5 === | ||
+ | * Add support for subtomograms | ||
+ | * Faster file reading | ||
+ | |||
=== Version 0.4 === | === Version 0.4 === | ||
* Balances unbalanced training datasets. | * Balances unbalanced training datasets. | ||
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* [[auto2d_tutorial|How to use Cinderella for 2D class selection]] | * [[auto2d_tutorial|How to use Cinderella for 2D class selection]] | ||
* [[cinderella_micrographs|How to use Cinderella for micrograph selection]] | * [[cinderella_micrographs|How to use Cinderella for micrograph selection]] | ||
+ | * [[cinderella_tomograms|How to use Cinderella for subtomogram selection]] | ||