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<p>Dear colleagues! <br>
<br>
"The good ones go into the pot, the bad ones go into your crop."<br>
<br>
We are happy to announce the release of Cinderella, an automatic 2D class selection tool: http://sphire.mpg.de/wiki/doku.php?id=auto_2d_class_selection<br>
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Cinderella is based on the same deep convolutional neural network as crYOLO and was trained on classes of 17 datasets (number increasing!) to separate good from contamination classes. The program is open source and standalone.<br>
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Cinderella is easy to use. You can use our pretrained network or easily train your own class selection network to separate classes more specifically (i.e. based on heterogeneity) . It supports .hdf and .mrcs files for training / classification.<br>
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We uploaded all published training data and invite the community to contribute additional classes to improve the pretrained network even further:<br>
http://sphire.mpg.de/wiki/doku.php?id=auto_2d_class_selection#contribute<br>
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With Cinderella, SPHIRE is providing the next tool for hands-free processing of cryo-em data.<br>
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We hope you will like it. Try it out!<br>
<br>
If you have further questions, please contact us at: https://listserv.gwdg.de/mailman/listinfo/sphire<br>
<br>
On behalf of the SPHIRE development team<br>
Thorsten, Luca, and Stefan<br>
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<span style="font-size:10.5pt" lang="EN-US">_____________________________</span>
<p class="MsoNormal"><span style="font-size:11.0pt" lang="EN-US">Dr. Thorsten Wagner<br>
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<p class="MsoNormal"><span style="font-size:11.0pt" lang="EN-US">Max-Planck-Institute of Molecular Physiology</span></p>
<p class="MsoNormal"><span style="font-size:11.0pt" lang="EN-US">Structural Biochemistry</span></p>
<p class="MsoNormal"><span style="font-size:11.0pt" lang="EN-US">Otto-Hahn Strasse 11</span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">D-44227 Dortmund</span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt">Phone +49-(0)231-133-2357</span></p>
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