Author

Tobias M. Rasse

German Cancer Research CenterORCID 0000-0003-4090-7662Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:Drosophila· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Ann-Christin Krahl· 1 shared Christopher J. H. ElliottiD· 1 shared Jun‐yi ZhuiD· 1 shared Natalia Vereshchagina· 1 shared Nina M. Dräger· 1 shared Péter HorváthiD· 1 shared Réka HollandiiD· 1 shared Shabab B. HannaniD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenetics

Ann-Christin Krahl

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2 papers

Recent·Most cited

GeneticsAutophagyPeer-reviewedJan 6, 2021

Autophagy inhibition rescues structural and functional defects caused by the loss of mitochondrial chaperone Hsc70-5/mortalin in Drosophila

Jun‐yi Zhu, Shabab B. Hannan, Nina M. Dräger…·Tobias M. Rasse

The paper investigates the role of Hsc70-5/mortalin loss in Drosophila Parkinson disease models and shows that autophagy inhibition rescues multiple phenotypes.

11 citations

Drosophilaexperimental assay

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BioinformaticsFrontiers in Bioengineering and BiotechnologyPeer-reviewedOct 6, 2020

OpSeF: Open source Python framework for collaborative instance segmentation of bioimages

Tobias M. Rasse, Réka Hollandi, Péter Horváth

OpSeF provides a Python framework for collaborative instance segmentation of bioimages, integrating pre-trained models and enabling reproducible, modular workflows.

18 citations

imagingdeep learning

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