Author

J. J. Koopmans

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

A. Piruska· 1 shared D. T. Rademaker· 1 shared G. M. S. M. Thyen· 1 shared G. Vriend· 1 shared M. A. Huynen· 1 shared N. I. Proellochs· 1 shared P. A. C. 't Hoen· 1 shared T. W. A. Kooij· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperMicrobiology

A. Piruska

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1 paper

Recent·Most cited

Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells

D. T. Rademaker, J. J. Koopmans, G. M. S. M. Thyen, A. Piruska, W. T. S. Huck, G. Vriend, P. A. C. 't Hoen, T. W. A. Kooij, M. A. Huynen, N. I. Proellochs

This paper uses deep learning trained on synthetic data to quantify deformability differences in malaria-infected red blood cells, revealing strain-specific virulence variations.

bioRxiv · Dec 16, 2022Microbiology