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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
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

Internet

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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