S. Walker-Samuel

A unique subset of pericystic endothelium associates with aberrant microvascular remodelling and impaired blood perfusion early in polycystic kidney disease

The paper identifies a unique pericystic endothelium in ADPKD that contributes to microvascular remodelling and impaired perfusion, suggesting vascular targets for early intervention.

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.

The temporal evolution of cancer hallmarks

This study identifies the temporal order of cancer hallmarks during tumorigenesis using mutation allele frequency and selective advantage across cancer and normal tissues.

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.

Physics-informed deep generative learning for quantitative assessment of the retina

This paper introduces a physics-informed GAN to generate realistic retinal blood vessel models, outperforming human labeling in segmentation and reconstruction.

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.

Three-dimensional imaging and single-cell transcriptomics of the human kidney implicate perturbation of lymphatics in alloimmunity

This study uses 3D imaging and single-cell RNA-sequencing to analyze human kidney lymphatics, revealing structural and transcriptional changes in rejecting kidney transplants.

Multiscale three-dimensional imaging of intact human organs down to the cellular scale using hierarchical phase-contrast tomography

This paper introduces HiP-CT, a technique for high-resolution 3D imaging of intact human organs, and demonstrates its application to study structural details of organs and their functional units.

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.

Combining optical imaging of cleared tissue with mathematical modelling to predict drug delivery and therapeutic response

The paper develops a computational framework to predict drug delivery and therapeutic response by integrating optical imaging and mathematical modeling in tumor tissue.

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.

Investigating low-velocity fluid flow in tumours using convection-MRI

This study develops convection-MRI to investigate low-velocity fluid flow in tumors and shows it correlates with interstitial fluid pressure measurements in mouse models.