Author

Nikolaj Gadegaard

University of GlasgowORCID 0000-0002-3396-846XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Bjørn Sand JenseniD· 1 shared Jamie WhitelawiD· 1 shared Laura M. MacheskyiD· 1 shared Lisa LauxiD· 1 shared Loïc FortiD· 1 shared Luke TweedyiD· 1 shared Marie F.A. CutiongcoiD· 1 shared Nikki R. PauliD· 1 shared

Activity by Year

2020-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Bjørn Sand JensenORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Cell BiologyJournal of Cell SciencePeer-reviewedNov 15, 2025

CYRI-B loss promotes enlarged mature focal adhesions and restricts microtubule and ERC1 access to the cell leading edge

Jamie Whitelaw, Sayantika Ghosh, Sérgio Lilla…·Laura M. Machesky

1 citation

proteomicsexperimental assay

𝕏 PostBluesky

BioinformaticsPLoS ONEPeer-reviewedSep 11, 2020

Interactive machine learning for fast and robust cell profiling

Lisa Laux, Marie F.A. Cutiongco, Nikolaj Gadegaard, Bjørn Sand Jensen

This paper introduces an interactive machine learning approach to optimize cell profiling pipelines by reducing cognitive load and improving segmentation quality compared to trial-and-error methods.

6 citations

imagingmachine learning (classical)

𝕏 PostBluesky