Author

Lauren Deighton

University of CambridgeORCID 0009-0005-4138-640XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Carlos CaldasiD· 2 shared Dario BressaniD· 2 shared Fatime Qosaj· 2 shared Ian Gordon CannelliD· 2 shared Kirsty SawickaiD· 2 shared Abigail SheaiD· 1 shared Alejandra BrunaiD· 1 shared Ali Dariush· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersCancer Biology

Carlos CaldasORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintOct 9, 2026

A three-dimensional imaging pipeline for the detection of vasculogenic mimicry in mouse tumor models

Lauren Deighton, Sarah M. Pearsall, Fatime Qosaj…·Ian Gordon Cannell

This paper introduces a 3D imaging pipeline to detect functionally perfused vasculogenic mimicry in mouse tumor models, providing evidence of its presence and functionality.

DOI 10.64898/2026.10.07.756703

mouseimaging

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedSep 27, 2026

Serval: A modular framework for decoding imaging based spatial transcriptomics data

Jenkin Tsui, Naila Adam, Woongcheol Choi…·Nicholas A. Walton

Serval is a modular framework for decoding spatial transcriptomics data that introduces Cosine, a method improving transcript recovery and correlation with expression references.

DOI 10.1093/bioinformatics/btag707

humanspatial transcriptomics

𝕏 PostBluesky