High-confidence 3D template matching for cryo-electron tomography
Abstract Visual proteomics attempts to build atlases of the molecular content of cells but the automated annotation of cryo electron tomograms remains challenging. Template matching (TM) and methods based on machine learning detect structural signatures of macromolecules. However, their applicabilit...
| Published in: | Nature Communications |
|---|---|
| Main Authors: | Sergio Cruz-León, Tomáš Majtner, Patrick C. Hoffmann, Jan Philipp Kreysing, Sebastian Kehl, Maarten W. Tuijtel, Stefan L. Schaefer, Katharina Geißler, Martin Beck, Beata Turoňová, Gerhard Hummer |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-05-01
|
| Online Access: | https://doi.org/10.1038/s41467-024-47839-8 |
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