Author

S. Tacke

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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Biochemistry· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Assay:cryo-EM· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Approach:experimental assay· 1 Organism:mouse· 1

Frequent Co-Authors

M. Stabrin· 2 shared S. Raunser· 2 shared T. Wagner· 2 shared A. Apelbaum· 1 shared A. L. Kho· 1 shared B. Siebolds· 1 shared C. Antoni· 1 shared C. Gatsogiannis· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBiochemistry

M. Stabrin

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2 papers

Recent·Most cited

In situ structures from relaxed cardiac myofibrils reveal the organization of the muscle thick filament

D. Tamborrini, Z. Wang, T. Wagner, S. Tacke, M. Stabrin, M. Grange, A. L. Kho, M. Rees, P. Bennett, M. Gautel, S. Raunser

This study reveals the 3D structure of relaxed cardiac sarcomeres using cryo-electron tomography, showing how thick filament components interact and function in muscle contraction.

bioRxiv · Apr 11, 2023 · PreprintBiochemistry

SPHIRE-crYOLO: A fast and accurate fully automated particle picker for cryo-EM

T. Wagner, F. Merino, M. Stabrin, T. Moriya, C. Antoni, A. Apelbaum, P. Hagel, O. Sitsel, T. Raisch, D. Prumbaum, D. Quentin, D. Roderer, S. Tacke, B. Siebolds, E. Schubert, , S. Raunser

The paper introduces crYOLO, a deep learning-based particle picker for cryo-EM that achieves high accuracy and speed, enabling automated data pre-processing.

bioRxiv · Mar 13, 2019Biophysics