The documentation has moved to https://cryolo.readthedocs.io
CrYOLO is a fast and accurate particle picking procedure. It's based on convolutional neural networks and utilizes the popular You Only Look Once (YOLO) object detection system.
In this tutorial we explain our recommended configurations for single particle and filament projects. You can find more information how to use crYOLO, about supported networks and about the config file in the following articles:
Wagner, T. et al. SPHIRE-crYOLO is a fast and accurate fully automated particle picker for cryo-EM. Communications Biology 2, (2019).
We are also proud that crYOLO was recommended by F1000:
“CrYOLO works amazingly well in identifying the true particles and distinguishing them from other high-contrast features. Thus, crYOLO provides a fast, automated tool, which gives similar reliable results as careful manual selection and outperforms template based selection procedures.” Bettina Böttcher, Biochemistry, University Würzburg
You can find the download and installation instructions here: Download and Installation
Find new versions here: https://cryolo.readthedocs.io
Depending what you want to do, you can follow one of these self-contained Tutorials:
The first, second and third tutorial are the most common use cases and well tested. The fourth tutorial is still experimental but might give you better results in less time and less training data.
Any questions? Problems? Suggestions?
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