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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)...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Veröffentlicht in:iScience
Hauptverfasser: Andriasyan, Vardan, Yakimovich, Artur, Petkidis, Anthony, Georgi, Fanny, Witte, Robert, Puntener, Daniel, Greber, Urs F.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Elsevier 2021
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8192562/
https://ncbi.nlm.nih.gov/pubmed/34151222
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.isci.2021.102543
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