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Rapid Synthesis of Cryo-ET Data for Training Deep Learning Models
Deep learning excels at cryo-tomographic image restoration and segmentation tasks but is hindered by a lack of training data. Here we introduce cryo-TomoSim (CTS), a MATLAB-based software package that builds coarse-grained models of macromolecular complexes embedded in vitreous ice and then simulate...
Autores principales: | Purnell, Carson, Heebner, Jessica, Swulius, Michael T., Hylton, Ryan, Kabonick, Seth, Grillo, Michael, Grigoryev, Sergei, Heberle, Fred, Waxham, M. Neal, Swulius, Matthew T. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168359/ https://www.ncbi.nlm.nih.gov/pubmed/37162972 http://dx.doi.org/10.1101/2023.04.28.538636 |
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