Author

M. Kahnwald

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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Biophysics· 2 Cell Biology· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Organism:human· 3 Research Focus:benchmarking· 2 Assay:fluorescence / live-cell microscopy· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1

Frequent Co-Authors

J. Ries· 2 shared P. Liberali· 2 shared S. Barbiero· 2 shared U. Matti· 2 shared Y. Li· 2 shared A. Tschanz· 1 shared B. Nijmeijer-Winter· 1 shared B. Treutlein· 1 shared

Activity by Year

2019-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBiophysics

J. Ries

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Author profile →

4 papers

Recent·Most cited

Dynamics and plasticity of stem cells in the regenerating human colonic epithelium

K. C. Oost, M. Kahnwald, S. Barbiero, G. Q. G. de Medeiros, S. Suppinger, V. Kalck, L. Challet Meylan, S. A. Smallwood, M. B. Stadler, P. Liberali

This study develops a model to culture human intestinal organoids and identifies two stem cell states crucial for regeneration and lineage balance.

bioRxiv · Dec 18, 2023 · PreprintCell Biology

An integrated transcriptomic cell atlas of human endoderm-derived organoids

Q. Xu, L. Halle, S. Hediyeh-zadeh, M. Kuijs, U. Kilik, Q. Yu, T. Frum, L. Adam, S. Parikh, M. Gander, R. Kfuri-Rubens, D. Klein, Z. He, J. S. Fleck, K. Oost, , J. G. Camp

This paper creates a human endoderm organoid cell atlas by integrating single-cell transcriptomes from multiple organoid types to compare cell states with primary tissues and disease models.

bioRxiv · Nov 20, 2023Cell Biology

Photon-free (s)CMOS camera characterization for artifact reduction in high- and super-resolution microscopy

R. Diekmann, J. Deschamps, Y. Li, A. Tschanz, M. Kahnwald, U. Matti, J. Ries

This paper develops an automated pipeline for sCMOS camera characterization using thermal signals, enabling artifact reduction in high- and super-resolution microscopy without additional hardware or user intervention.

bioRxiv · Apr 16, 2021Biophysics

Nuclear pores as versatile reference standards for quantitative superresolution microscopy

J. V. Thevathasan, M. Kahnwald, K. Cieslinski, P. Hoess, S. K. Peneti, M. Reitberger, D. Heid, K. C. Kasuba, S. J. Hoerner, Y. Li, Y.-L. Wu, M. Mund, U. Matti, P. M. Pereira, R. Henriques, , J. Ries

The paper uses genome-edited cell lines with labeled nuclear pore complexes to serve as reference standards for quantitative superresolution microscopy.

bioRxiv · Mar 20, 2019Biophysics