R. J. Shipley

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

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

tUbe net: a generalisable deep learning tool for 3D vessel segmentation

tUbe net is a deep learning tool for 3D vessel segmentation that can be generalized across tissues, modalities, and pathologies with minimal labeled data.

Mapping the blood vasculature in an intact human kidney using hierarchical phase-contrast tomography

This study maps the entire human kidney vasculature using hierarchical phase-contrast tomography, revealing structural differences in vascular architecture across kidney zones.

A three-dimensional, discrete-continuum model of blood pressure in microvascular networks

The paper develops a 3D discrete-continuum model to simulate blood pressure in microvascular tissues without known capillary architecture, validated using mouse brain vascular network data.

Multi-fluorescence high-resolution episcopic microscopy (MF-HREM) for three dimensional imaging of adult murine organs

This paper introduces MF-HREM, a 3D imaging technique for large biological samples, enabling multi-fluorescent staining and quantification in various biological contexts.

Modelling the transport of fluid through heterogeneous, whole tumours in silico

This paper develops a computational framework to simulate fluid transport in whole tumours, incorporating vascular architecture to predict interstitial fluid dynamics and inform cancer therapy design.

Insights into cerebral haemodynamics and oxygenation utilising in vivo mural cell imaging and mathematical modelling

This study combines in vivo imaging and mathematical modeling to reveal new insights into cerebral blood flow regulation and oxygenation mechanisms.