Fast and Accurate Segmentation of Biomolecules with TARDIS
Author Information
Author(s): Kiewisz Robert, Fabig Gunar, Conway Will, Johnston Jake, Kostyuchenko Victor A., Bařinka Cyril, Clarke Oliver, Magaj Magdalena, Yazdkhasti Hossein, Vallese Francesca, Lok Shee-Mei, Redemann Stefanie, Müller-Reichert Thomas, Bepler Tristan
Primary Institution: Cold Spring Harbor Laboratory
Hypothesis
Can TARDIS improve the annotation of structures in cryogenic electron microscopy images?
Conclusion
TARDIS provides a fast and accurate method for segmenting biomolecular structures in high-resolution imaging.
Supporting Evidence
- TARDIS can segment over 13,000 tomograms from the CZI Cryo-Electron Tomography data portal.
- The framework is modular and can be adapted for new structures and imaging modalities.
Takeaway
TARDIS is a tool that helps scientists quickly and accurately label tiny structures in pictures of biomolecules.
Methodology
TARDIS uses deep learning for semantic segmentation and a geometric model for instance segmentation.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website