Author

J. Keller-Findeisen

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· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1

Frequent Co-Authors

M. Bates· 3 shared A. Przybylski· 2 shared S. Jakobs· 2 shared S. W. Hell· 2 shared A. Folmeg· 1 shared A. Hüper· 1 shared A. R. Cereceda Delgado· 1 shared B. Stock· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersBiophysics

M. Bates

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Author profile →

4 papers

Recent·Most cited

Endogenous BAX and BAK form mosaic rings of variable size and composition on apoptotic mitochondria

S. V. Schweighofer, D. C. Jans, J. Keller-Findeisen, A. Folmeg, M. Bates, S. Jakobs

The paper shows that BAX and BAK form mosaic rings on apoptotic mitochondria, with BAK recruiting first and both proteins forming rings independently in knockout cells.

bioRxiv · Aug 18, 2023Cell Biology

MINSTED nanoscopy enters the Angstrom localization range

M. Weber, H. von der Emde, M. Leutenegger, P. Gunkel, V. C. Cordes, S. Sambandan, T. A. Khan, J. Keller-Findeisen, S. W. Hell

This paper introduces MINSTED nanoscopy, achieving angstrom-scale localization of fluorophores with high precision using a STED microscope.

bioRxiv · Mar 18, 2022Biophysics

Optimal Precision and Accuracy in 4Pi-STORM using Dynamic Spline PSF Models

M. Bates, J. Keller-Findeisen, A. Przybylski, A. Hüper, T. Stephan, P. Ilgen, A. R. Cereceda Delgado, E. D'Este, S. Jakobs, S. J. Sahl, S. W. Hell

This paper develops a 4Pi-STORM microscope with dynamic spline PSF models to achieve high 3D resolution and accuracy in single molecule localization microscopy.

bioRxiv · Oct 19, 2021Biophysics

Gpufit: An open-source toolkit for GPU-accelerated curve fitting

A. Przybylski, B. Thiel, J. Keller-Findeisen, B. Stock, M. Bates

Gpufit accelerates nonlinear parameter estimation using GPU computing, achieving 42x speedup over CPU-based methods without loss of precision.

bioRxiv · Oct 19, 2017Biophysics