Author

M. Schüttpelz

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

Signature Assays, Organisms & Methods

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Assay:fluorescence / live-cell microscopy· 2 Research Focus:imputation· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

T. Huser· 2 shared A. K. Engdahl· 1 shared A. Schneider· 1 shared M. Müller· 1 shared O. Grauberger· 1 shared P. M. Scheidig· 1 shared T.-C. Wang· 1 shared W. Schenck· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 24 mutual co-author links

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2 shared papersBiophysics

T. Huser

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2 papers

Recent·Most cited

Sodium sulfite as a switching agent for single molecule based super-resolution optical microscopy

A. K. Engdahl, O. Grauberger, M. Schüttpelz, T. Huser

The paper demonstrates that sodium sulfite can act as a switching agent in super-resolution microscopy, simplifying buffer solutions and enabling techniques like dSTORM and SOFI.

bioRxiv · Oct 11, 2021 · PreprintBiophysics

Deep-learning based denoising and reconstruction of super-resolution structured illumination microscopy images

Z. H. Shah, M. Müller, T.-C. Wang, P. M. Scheidig, A. Schneider, M. Schüttpelz, T. Huser, W. Schenck

This paper develops a deep-learning method to denoise and reconstruct SR-SIM images, improving image quality and robustness across varying noise levels and microscope settings.

bioRxiv · Oct 27, 2020Biophysics