Author

J. W. Wills

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Cell Biology· 1 Pathology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:chicken / avian· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

B. P. Davies· 2 shared B. W. Strugnell· 2 shared H. D. Summers· 2 shared I. McCrone· 2 shared K. Hughes· 2 shared K. Waine· 2 shared P. Rees· 2 shared A. E. Carpenter· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersPathology

B. P. Davies

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

An ovine model for investigation of the microenvironment of the male mammary gland

B. P. Davies, R. C. Crew, A. L. K. Cochrane, K. Davies, A. F. Baptista, S. Jeckel, I. McCrone, Y. Niu, B. W. Strugnell, K. Waine, A. L. Fowden, C. E. Bryant, J. W. Wills, D. A. Giussani, K. Hughes

This study evaluates the male ovine mammary gland microenvironment, comparing intact and neutered males, and demonstrates its utility as a model for male breast biology.

bioRxiv · Dec 17, 2023Pathology

In the murine and bovine maternal mammary gland signal transducer and activator of transcription 3 is activated in clusters of epithelial cells around the day of birth

L. J. A. Hardwick, B. P. Davies, S. Pensa, M. Burge-Rogers, C. Davies, A. Figueiredo Baptista, R. Knott, I. McCrone, E. Po, B. W. Strugnell, K. Waine, P. Wood, W. T. Khaled, H. D. Summers, P. Rees, , K. Hughes

The paper examines pSTAT3 expression in murine and bovine mammary glands around birth, finding non-random clustering of pSTAT3-positive cells in alveoli.

bioRxiv · Nov 22, 2023Cell Biology

Inter-laboratory automation of the in vitro micronucleus assay using imaging flow cytometry and deep learning

J. W. Wills, J. R. Verma, B. J. Rees, D. S. G. Harte, Q. Haxhiraj, C. M. Barnes, R. Barnes, M. A. Rodrigues, M. Doan, A. Filby, R. E. Hewitt, C. A. Thornton, J. G. Cronin, J. D. Kenny, R. Buckley, , P. Rees

This paper automates the in vitro micronucleus assay using imaging flow cytometry and deep learning, achieving high classification accuracy across laboratories.

bioRxiv · May 5, 2021Pharmacology & Toxicology