Author

Tobias Boothe

Max Planck Institute for Multidisciplinary SciencesORCID 0000-0003-1925-0213Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Zoology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Organism:multiple species· 1

Frequent Co-Authors

Jochen Christian RinkiD· 3 shared Akanksha JainiD· 1 shared Alexandr DibroviD· 1 shared Andreas MülleriD· 1 shared Benjamin G. WilhelmiD· 1 shared Caren NordeniD· 1 shared Clemens MaukschiD· 1 shared Coleman BroaddusiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersZoology

Jochen Christian RinkORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

An integrative taxonomic approach reveals unexplored diversity in Croatian planarians

Miquel Vila‐Farré, Jeremias N. Brand, Tobias Boothe, Maren Brockmeyer, Fruzsina Ficze-Schmidt, Markus A. Grohme, Uri Weill, Kasper H. Kluiver, Ludwik Gąsiorowski, Lucija Kauf, Yuliia Kanana, Helena Bilandžija, Marta Riutort, Jochen Christian Rink

Degenerate COI primers combined with histology, karyology and transcriptomics raise the known Croatian freshwater planarian species from eight to sixteen and describe Dendrocoelum pigmentatum sp. nov.

Frontiers in Zoology · Mar 16, 2026Peer-reviewedZoology✦ In-depth digest

Epidermal turnover in the planarian Schmidtea mediterranea involves basal cell extrusion and intestinal digestion.

Jun-Ru Lee, Tobias Boothe, Clemens Mauksch, Jochen Christian Rink

This study quantifies epidermal cell turnover in planarians, revealing basal cell extrusion and intestinal digestion as mechanisms for cell removal.

bioRxiv · Dec 7, 2023 · PreprintDevelopmental Biology

Content-Aware Image Restoration: Pushing the Limits of Fluorescence Microscopy

MARTIN G. WEIGERT, Uwe Schmidt, Tobias Boothe, Andreas Müller, Alexandr Dibrov, Akanksha Jain, Benjamin G. Wilhelm, Deborah Schmidt, Coleman Broaddus, Siân Culley, Maurício Rocha-Martins, Fabián Segovia‐Miranda, Caren Norden, Ricardo Henriques, Marino Zerial, , Eugene Wimberly Myers

This paper demonstrates how deep learning-based image restoration extends fluorescence microscopy's capabilities by improving resolution, reducing photon exposure, and increasing frame rates.

Nature Methods · Nov 19, 2018Peer-reviewedBioinformatics