Author

Maurice Deserno

University of CologneORCID 0000-0001-6583-7360Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:C. elegans· 2 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Assay:imaging· 2 Research Focus:clustering· 1 Research Focus:spatial domain detection· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Katarzyna BożekiD· 2 shared

Activity by Year

2023-2025 · peak 1/yr

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 14, 2025

Unsupervised Representation Learning of C. elegans Poses and Behavior Sequences From Microscope Video Recordings

Maurice Deserno, Katarzyna Bożek

This paper develops an unsupervised deep learning method to quantify C. elegans behavior from video data, capturing coiled movements not accessible via traditional methods.

1 citation

C. elegansimaging

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BioinformaticsScientific ReportsPeer-reviewedJul 7, 2023

WormSwin: Instance segmentation of C. elegans using vision transformer

Maurice Deserno, Katarzyna Bożek

WormSwin segments C. elegans in videos using a vision transformer, achieving high accuracy and enabling tracking of overlapping worms.

24 citations

C. elegansimaging

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