Author

Jens Kleesiek

Essen University HospitalORCID 0000-0001-8686-0682Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Dagmar Führer· 1 shared Daniel F. SchwarziD· 1 shared Daniel HübschmanniD· 1 shared Daniel Robert EngeliD· 1 shared Devon SiemesiD· 1 shared Heike HeueriD· 1 shared Jenny BottekiD· 1 shared Jens SoltwischiD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Dagmar Führer

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

msiFlow: Automated Workflows for Reproducible and Scalable Multimodal Mass Spectrometry Imaging and Immunofluorescence Microscopy Data Processing and Analysis

Philippa Spangenberg, Sebastian Bessler, Lars Widera, Jenny Bottek, Mathis Richter, Stephanie Thiebes, Devon Siemes, Sascha D. Krauß, Lukasz G. Migas, Siva Swapna Kasarla, Prasad B. Phapale, Jens Kleesiek, Dagmar Führer, Lars Christian Moeller, Heike Heuer, , Daniel Robert Engel

msiFlow automates and streamlines multimodal mass spectrometry imaging and immunofluorescence data analysis to enhance reproducibility and scalability in biological research.

bioRxiv · Aug 24, 2024 · PreprintBioinformatics

An AI-based segmentation and analysis pipeline for high-field MR monitoring of cerebral organoids

Luca Deininger, Sabine Jung‐Klawitter, Ralf Mikut, Petra Richter, Manuel Fischer, Kianush Karimian Jazi, Michael O. Breckwoldt, Martin Bendszus, Sabine Heiland, Jens Kleesiek, Thomas Opladen, Oya Kuseyri Hübschmann, Daniel Hübschmann, Daniel F. Schwarz

This paper introduces an AI-based pipeline for analyzing cerebral organoids using MRI, achieving high segmentation accuracy and quality classification.

Scientific Reports · Dec 1, 2023Peer-reviewedDevelopmental Biology