Differences

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

--- auto_2d_class_selection [2019/07/29 14:48]
twagner [Changelog]
+++ auto_2d_class_selection [2019/12/05 09:29]
twagner
@@ Line 1: / Line 1: @@
-====== Cinderella: Automatic 2D class selection ======
+====== Cinderella: Deep learning based 2D class and micrograph selection ======
 ----
@@ Line 9: / Line 9: @@
-Our automatic 2d class selection tool (**Cinderella**) is based on a deep learning network to seperate 2D classes from .hdf / .mrcs files into good and bad classes. It uses the same deep neural network as crYOLO and was pretrained on a set good / bad 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.
+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.
+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.
 <note>
   * **License**: MIT
   * **GitHub repository**: https://github.com/MPI-Dortmund/sphire_classes_autoselect
 </note>
 Here are a couple of examples for good / bad classes in Cinderella:
@@ Line 45: / Line 48: @@
 ====Changelog====
+=== Version 0.4 ===
+  * Apply weights if good / bad training classes are unbalanced
+  * It is no possible to train cinderella to select micrographs
+  * Updated the general model for 2D class selection.
 === Version 0.3.1 ===

User Tools

Site Tools

Differences

Page Tools