BEST practice for research ImagES (BESTIES) - Integrating Image Quality, Pseudonymisation & Governance in UK Research Imaging

Authors

Claire MacDonald
Katie Wilde (ORCID: https://orcid.org/0000-0001-5024-8846)
M. Mallaburn
Steve Harris (ORCID: https://orcid.org/0000-0002-0899-325X)
Michael W. Smith (ORCID: https://orcid.org/0000-0003-2790-1653)
Fiona Booth (ORCID: https://orcid.org/0009-0008-1617-9822)
Nicholas Roy Payne (ORCID: https://orcid.org/0000-0002-0492-971X)
Jackie Caldwell
Joanna Wills
Steve Sweeney
Anthony Wilson

Institutions

University College London Hospitals NHS Foundation Trust (GB)
University of Aberdeen (GB)
University of Cambridge (GB)
University of Bristol (GB)
Manchester University NHS Foundation Trust (GB)
Public Health Scotland (GB)
Camber Collective (United States) (US)
University College London (GB)

Publication Details

Journal: Zenodo (CERN European Organization for Nuclear Research)
Published: 2026-02-18
DOI: https://doi.org/10.5281/zenodo.18682948
Primary Topic: Cell Image Analysis Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

BEST practice for research ImagES (BESTIES) - Integrating Image Quality, Pseudonymisation & Governance in UK Research Imaging

Claire MacDonald, Katie Wilde, M. Mallaburn, Steve Harris et al.

Feb 18, 2026

Zenodo (CERN European Organization for Nuclear Research)

Cell Image Analysis Techniques

article

BEST practice for research ImagES (BESTIES) - Integrating Image Quality, Pseudonymisation & Governance in UK Research Imaging

Claire MacDonald, Katie Wilde, M. Mallaburn, Steve Harris, Michael W. Smith, Fiona Booth, Nicholas Roy Payne, Jackie Caldwell, Joanna Wills, Steve Sweeney, Anthony Wilson

February 18, 2026article en

Abstract

No abstract available for this paper.

Zenodo (CERN European Organization for Nuclear Research)

University College London Hospitals NHS Foundation Trust (GB), University of Aberdeen (GB), University of Cambridge (GB), University of Bristol (GB), Manchester University NHS Foundation Trust (GB), Public Health Scotland (GB), Camber Collective (United States) (US), University College London (GB)

Openalex Percentile: Top 58%

Cell Image Analysis Techniques

DOI Open Access PDF OpenAlex

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