Author

Luis Kuhn Cuellar

Quantitative Biology CenterORCID 0000-0002-6950-6929Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 3 Organism:plant (other)· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1

Frequent Co-Authors

Sven NahnseniD· 3 shared Friederike WankeiD· 2 shared Gisela GabernetiD· 2 shared Klaus HarteriD· 2 shared Adrian Seyboldt· 1 shared Andreas FriedrichiD· 1 shared Benjamin PavieiD· 1 shared Carolin SchwitallaiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersBioinformatics

Sven NahnsenORCID

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3 papers

Recent·Most cited

From Abandoned Scripts to FAIR Community Pipelines: Rescuing Orphan Bioinformatics Workflows with nf-core - Lessons from Light-Sheet Fluorescence Microscopy

Carolin Schwitalla, Luis Kuhn Cuellar, Matthias Hörtenhuber, Niklas Grote, Tatiana Marianne Woller, Irene Lamberti, Benjamin Pavie, Thomas Küstner, Felix A. Kyere, Ian Curtin, Jason L. Stein, Sven Nahnsen

The paper re-engineers an abandoned MATLAB-based image analysis toolkit into a sustainable, FAIR-compliant Nextflow workflow for light-sheet microscopy.

bioRxiv · Aug 11, 2026 · PreprintBioinformatics

nf-root: a best-practice pipeline for deep learning-based analysis of apoplastic pH in microscopy images of developmental zones in plantroot tissue

Julian S. Wanner, Luis Kuhn Cuellar, Luiselotte Rausch, Kenneth Wayne Berendzen, Friederike Wanke, Gisela Gabernet, Klaus Harter, Sven Nahnsen

nf-root automates apoplastic pH analysis in plant root images using deep learning, achieving near-human performance and reducing analysis time.

Quantitative Plant Biology · Jan 1, 2024Peer-reviewedBioinformatics

Efficient data management infrastructure for the integration of imaging and omics data in life science research

Luis Kuhn Cuellar, Andreas Friedrich, Gisela Gabernet, Luis de la Garza, Sven Fillinger, Adrian Seyboldt, Sven zur Oven‐Krockhaus, Friederike Wanke, Sandra Richter, Wolfgang Maximilian Thaiss, Marius Horger, Nisar P. Malek, Klaus Harter, Michael Bitzer, Sven Nahnsen

The paper proposes a FAIR-compliant data management system integrating imaging and omics data using Service Oriented Architecture principles, demonstrating its use in plant biology and hepatocellular carcinoma studies.

bioRxiv · Dec 28, 2019 · PreprintBioinformatics