Author

A. Tschanz

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· 3 Cell Biology· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 4 Approach:experimental assay· 3 Assay:fluorescence / live-cell microscopy· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

J. Ries· 5 shared M. Mund· 2 shared P. Hoess· 2 shared U. Matti· 2 shared Y.-L. Wu· 2 shared E. D'Este· 1 shared F. Frey· 1 shared J. Deschamps· 1 shared

Activity by Year

2021-2023 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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5 shared papersBiophysics

J. Ries

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Automated 3D multi-color single-molecule localization microscopy

R. M. Power, A. Tschanz, T. Zimmermann, J. Ries

This paper provides a protocol for setting up high-end 3D multi-color single-molecule localization microscopy (SMLM) in a laboratory setting.

bioRxiv · Oct 23, 2023 · PreprintBiophysics

Superresolution microscopy reveals partial preassembly and subsequent bending of the clathrin coat during endocytosis

M. Mund, A. Tschanz, Y.-L. Wu, F. Frey, J. L. Mehl, M. Kaksonen, O. Avinoam, U. S. Schwarz, J. Ries

The paper uses superresolution microscopy to show clathrin coats partially assemble on flat membranes before bending, and introduces a model to explain this process.

bioRxiv · Oct 12, 2021Cell Biology

Maximum-likelihood model fitting for quantitative analysis of SMLM data

Y.-L. Wu, P. Hoess, A. Tschanz, U. Matti, M. Mund, J. Ries

LocMoFit is an open-source framework that fits models to SMLM data using maximum likelihood estimation to extract biological insights from single-molecule localization coordinates.

bioRxiv · Aug 30, 2021Biophysics

Systematic Tuning of Rhodamine Spirocyclization for Super-Resolution Microscopy

N. Lardon, L. Wang, A. Tschanz, P. Hoess, M. Tran, E. D'Este, J. Ries, K. Johnsson

This paper describes a method to systematically tune the spirocyclization equilibrium of rhodamines to create probes for different super-resolution microscopy techniques.

bioRxiv · May 20, 2021Cell 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