Author

C. Paul Morris

National Institutes of HealthORCID 0000-0002-6403-5048Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Brett EatoniD· 1 shared Elena N. PostnikovaiD· 1 shared Gregory A. KocheriD· 1 shared Jens H. KuhniD· 1 shared Matthew G. LackemeyeriD· 1 shared Michael J. MurphyiD· 1 shared Michael R. HolbrookiD· 1 shared Steven MazuriD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperMicrobiology

Brett EatonORCID

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1 paper

Recent·Most cited

High-throughput virus quantification using cytopathic effect area analysis by deep learning

Michael J. Murphy, Steven Mazur, Elena N. Postnikova, Brett Eaton, Gregory A. Kocher, Winston T. Chu, Matthew G. Lackemeyer, Syed Qasim Gilani, Jens H. Kuhn, Michael R. Holbrook, C. Paul Morris

This paper develops a deep learning-based method to quantify infectious viruses using cytopathic effect area analysis, improving throughput and reducing manual bias.

bioRxiv · Sep 11, 2025 · PreprintMicrobiology