Author

Juliane Pfeil

Robert Koch InstituteORCID 0009-0004-4846-1495Unclaimed 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 type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexandra LöweiD· 1 shared Anna-Maria HartneriD· 1 shared Anne Kauter· 1 shared Christian SiebeniD· 1 shared Christopher IrrgangiD· 1 shared Corinna SchuleriD· 1 shared Eva MülleriD· 1 shared Giebel BerndiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Alexandra LöweORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 15, 2026

Label-free detection of individual virus-infected cells using deep learning

Juliane Pfeil, Corinna Schuler, Eva Müller…·Nils Körber

This paper introduces a deep learning model to identify virus-infected cells from light microscopy images without using labels or stains, achieving up to 96% classification accuracy.

DOI 10.64898/2026.01.15.699499

imagingdeep learning

𝕏 PostBluesky

MicrobiologybioRxivPreprintAug 8, 2025

The temperature sensitivity of arboviral disease extrinsic incubation periods: a systematic review

Anna-Maria Hartner, Tim Herath, Luis Roger Esquivel Gomez…·Christopher Irrgang

This study systematically reviews temperature effects on arboviral extrinsic incubation periods, finding significant heterogeneity across viruses and mosquito species.

1 citation

statistical modelbenchmarking

𝕏 PostBluesky