In Silico Modelling of Zebrafish Neurovascular Development

An exciting opportunity has arisen to study for a PhD developing and applying computational image analysis methodology to lightsheet imaging of zebrafish. The opportunity will particularly suit someone who wishes to develop advanced image processing and computing skills, while applying these to solve problems in the biological and medical domains. Lightsheet imaging provides unrivalled imaging of cell behaviour and organ patterning during zebrafish development. However, there are currently no established methods to quantify parameters that characterise the vascular anatomy, compare images between individual embryos, or compare mutant or drug-treated embryos with controls. This deficiency limits the ability to extract important biological data from lightsheet imaging datasets. This project aims to overcome these limitations by developing and evaluating an optimised image analysis workflow for quantifying neurovascular development in individual zebrafish and across populations.