Author

Natalie A. Holroyd

University College LondonORCID 0000-0001-9174-1346Unclaimed 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· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Simon Walker‐SamueliD· 2 shared Agostino StilliiD· 1 shared Brian Ritchie DavidsoniD· 1 shared Claire L. WalshiD· 1 shared Danail V. StoyanoviD· 1 shared Emre DoganayiD· 1 shared Hannah West· 1 shared Katie Doyle· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersPhysiology

Simon Walker‐SamuelORCID

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2 papers

Recent·Most cited

PhysiologyNMR in BiomedicinePeer-reviewedFeb 6, 2026

Real time evaluation of the liver microcirculation by whole organ machine perfusion within an MRI system

Zainab L. Rai, Natalie Holroyd, Morenike Magbagbeola…·Brian Ritchie Davidson

This study demonstrates the use of MRI to evaluate liver microcirculation during machine perfusion, showing improved preservation and quantitative vascular analysis.

DOI 10.1002/nbm.70236

imagingexperimental assay

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BioengineeringbioRxivFeb 1, 2024

Reconstructing microvascular network skeletons from 3D images: what is the ground truth?

Claire L. Walsh, Maxime Berg, Hannah West…·Rebecca J. Shipley

This paper evaluates skeletonisation algorithms for 3D vascular networks, introducing a super-metric to assess and optimize their performance across different datasets.

DOI 10.1016/j.compbiomed.2024.108140

imagingdeep learning

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