Microscopy deep learning predicts virus infections and reveals mechanics of lytic-infected cells

Imaging across scales reveals disease mechanisms in organisms, tissues, and cells. Yet, particular infection phenotypes, such as virus-induced cell lysis, have remained difficult to study. Here, we developed imaging modalities and deep learning procedures to identify herpesvirus and adenovirus (AdV)...

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Detalles Bibliográficos
Autores principales: Andriasyan, Vardan, Yakimovich, Artur, Petkidis, Anthony, Georgi, Fanny, Witte, Robert, Puntener, Daniel, Greber, Urs F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192562/
https://www.ncbi.nlm.nih.gov/pubmed/34151222
http://dx.doi.org/10.1016/j.isci.2021.102543

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192562/
https://www.ncbi.nlm.nih.gov/pubmed/34151222
http://dx.doi.org/10.1016/j.isci.2021.102543

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