Author

Steven Mazur

National Institutes of HealthORCID 0000-0002-9349-338XUnclaimed 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 C. Paul MorrisiD· 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

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

MicrobiologybioRxivPreprintSep 11, 2025

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

Michael J. Murphy, Steven Mazur, Elena N. Postnikova…·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.

DOI 10.1101/2025.09.11.675495

imagingdeep learning

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