Author

P. Rosendahl

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· 4

Signature Assays, Organisms & Methods

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Assay:flow cytometry· 4 Research Focus:cell type annotation· 3 Approach:experimental assay· 3 Organism:human· 3 Research Focus:differential expression· 2 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:imaging· 1

Frequent Co-Authors

J. Guck· 4 shared M. Herbig· 4 shared A. Jacobi· 3 shared C. Herold· 3 shared N. Toepfner· 3 shared F. Reichel· 2 shared M. Kraeter· 2 shared O. Otto· 2 shared

Activity by Year

2017-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 42 mutual co-author links

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4 shared papersBiophysics

J. Guck

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4 papers

Recent·Most cited

Changes in blood cell deformability in Chorea-Acanthocytosis and effects of treatment with dasatinib or lithium

F. Reichel, M. Kraeter, K. Peikert, H. Glass, P. Rosendahl, M. Herbig, A. R. Prieto, A. Kihm, L. Kaestner, A. Hermann, J. Guck

This study examines blood cell deformability in Chorea-Acanthocytosis patients and evaluates the effects of dasatinib or lithium treatment on red blood cell and leukocyte mechanics.

bioRxiv · Dec 16, 2021Biophysics

Using real-time fluorescence and deformability cytometry and deep learning to transfer molecular specificity to label-free sorting

A. A. Nawaz, M. Urbanska, M. Herbig, M. Nötzel, M. Kräter, P. Rosendahl, C. Herold, N. Toepfner, M. Kubankova, R. Goswami, S. Abuhattum, F. Reichel, P. Müller, A. V. Taubenberger, S. Girardo, , J. Guck

bioRxiv · Apr 10, 2020Biophysics

Real-time fluorescence and deformability cytometry - flow cytometry goes mechanics

P. Rosendahl, K. Plak, A. Jacobi, M. Kraeter, N. Toepfner, O. Otto, C. Herold, M. Winzi, M. Herbig, Y. Ge, S. Girardo, K. Wagner, B. Baum, J. Guck

This paper introduces RT-FDC, combining real-time fluorescence imaging with deformability cytometry to enable label-free, high-throughput mechanical and molecular cell analysis.

bioRxiv · Sep 11, 2017Biophysics

Detection Of Human Disease Conditions By Single-Cell Morpho-Rheological Phenotyping Of Whole Blood

N. Toepfner, C. Herold, O. Otto, P. Rosendahl, A. Jacobi, M. Krater, J. Stachele, L. Menschner, M. Herbig, L. Ciuffreda, L. Ranford-Cartwright, M. Grzybek, U. Coskun, E. Reithuber, G. Garriss, , J. Guck

This paper introduces a method to detect human disease conditions by analyzing whole blood using morpho-rheological phenotyping without labeling or separation.

bioRxiv · Jun 1, 2017Biophysics