Author

T. J. Shaw

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· 3 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Assay:imaging· 3 Research Focus:clustering· 2 Approach:deep learning· 2 Organism:human· 2 Research Focus:spatial domain detection· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

B. Stramer· 2 shared S. Marcotti· 2 shared A. Haiser· 1 shared A. Predeus· 1 shared B. Cakir· 1 shared C. Ganier· 1 shared D. B. de Freitas· 1 shared D. Bergamaschi· 1 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersCell Biology

B. Stramer

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Characterisation and correction of polarisation effects in fluorescently labelled fibres

N. Aggarwal, R. Marsh, S. Marcotti, T. J. Shaw, B. Stramer, S. Cox, S. Culley

The paper identifies polarisation effects in fluorescently labelled fibres and introduces a correction method to improve fibre alignment analysis.

bioRxiv · Nov 10, 2023Cell Biology

A biomechanical switch promotes lysosomal remodelling and exocytosis in keloid fibroblasts

R. Ross, Y. Guo, R. N. Walker, D. Bergamaschi, T. J. Shaw, J. T. Connelly

This study shows keloid fibroblasts have heightened cytoskeletal tension and lysosomal exocytosis in response to mechanical cues, altering ECM remodeling.

bioRxiv · Nov 1, 2023Cell Biology

Multi-scale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma

C. Ganier, P. Mazin, G. Herrera-Oropeza, X. Du-Harpur, M. Blakeley, J. Gabriel, A. Predeus, B. Cakir, M. Prete, N. Harun, J.-F. Darrigrand, A. Haiser, S. Wyles, T. J. Shaw, S. A. Teichmann, , M. D. Lynch

The paper creates a multi-scale spatial atlas of healthy human skin and basal cell carcinoma using various omics and imaging techniques, revealing cell population localization and origins.

bioRxiv · Aug 8, 2023 · PreprintCell Biology

A Workflow for Rapid Unbiased Quantification of Fibrillar Feature Alignment in Biological Images

S. Marcotti, D. B. de Freitas, L. D. Troughton, F. N. Kenny, T. J. Shaw, b. stramer, P. W. Oakes

This paper introduces AFT, a workflow using 2D FFT to quantify fibrillar feature alignment in microscopy images, showing advantages in flexibility, parameter efficiency, and computational speed.

Frontiers in Computer Science · Oct 14, 2021Peer-reviewedBiophysics