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Updated: May 18, 2026

Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
Published on: November 18, 2019
Online chromatic and scale-space microvessel-tracing analysis for transmitted light optical images
Constantino Carlos Reyes-Aldasoro1, Meit A Björndahl, Simon Akerman
1Biomedical Engineering Research Group, Department of Engineering and Design, 2B10 Shawcross Building, University of Sussex, Falmer, Brighton, BN1 9QT, UK. c.c.reyes-aldasoro@sussex.ac.uk
None:
Limited contrast in transmitted light optical images from intravital microscopy is problematic for analysing tumour vascular morphology. Moreover, in some cases, changes in vasculature are visible to a human observer but are not easy to quantify. In this paper two online algorithms are presented: scale-space vessel tracing and chromatic decomposition for analysis of the vasculature of SW1222 human colorectal carcinoma xenografts growing in dorsal skin-fold "window" chambers in mice. Transmitted light optical images of tumours were obtained from mice treated with the tumour vascular disrupting agent, combretastatin-A-4-phosphate (CA4P), or saline. The tracing algorithm was validated against hand-traced vessels with accurate results. The measurements extracted with the algorithms confirmed the known effects of CA4P on tumour vascular topology. Furthermore, changes in the chromaticity suggest a deoxygenation of the blood with a recovery to initial levels in CA4P-treated tumours relative to the controls. The algorithms can be freely applied to other studies through the CAIMAN website (CAncer IMage ANalysis: http://www.caiman.org.uk).
