Can I read The evolution of SPHIRE-crYOLO particle picking and its application in automated cryo-EM processing workflows on EtoBox?
The evolution of SPHIRE-crYOLO particle picking and its application in automated cryo-EM processing workflows by Wagner, Thorsten; Raunser, Stefan is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is The evolution of SPHIRE-crYOLO particle picking and its application in automated cryo-EM processing workflows about?
Particle selection is a crucial step when processing electron cryo microscopy data. Several automated particle picking procedures were developed in the past but most struggle with non-ideal data sets. In our recent Communications Biology article, we presented crYOLO, a deep learning based particle picking program. It enables fast, automated particle picking at human levels of accuracy with low effort. A general model allows the use of crYOLO for selecting particles in previously unseen data sets without further training. Here we describe how crYOLO has evolved since its initial release. We have introduced filament picking, a new denoising technique, and a new graphical user interface. Moreover, we outline its usage in automated processing pipelines, which is an important advancement on the horizon of the field.
Who reads The evolution of SPHIRE-crYOLO particle picking and its application in automated cryo-EM processing workflows?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Wagner, Thorsten; Raunser, Stefan
- Publisher
- Springer Science and Business Media LLC; [London]: Springer Nature, 2018-; Society for Mining, Metallurgy and Exploration Inc. (ISSN 2399-3642)
- Published
- 2020
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)