Dr Chas Nelson
My research interests focus on the interface of hardware and software in the pursuit of high quality, quantitative bioimaging. This interface requires the integration of skills from computing, engineering, physics, chemistry and the life sciences and, as such, my research career has moved me between disciplines and has always involved a large number of cross-disciplinary collaborations.
There are many interesting challenges at this interface including the reductions of photo-damage, the issues of low signal-to-noise ratios and of complex objects and images often with occluded or incomplete structures. These complications often have to be solved in a scenario-specific manner using a combination of bright optics and computational analysis.
You can find my publications on Google Scholar: https://scholar.google.co.uk/citations?user=lYGU2EoAAAAJ.
My current research focusses on real-time image processing for the synchronisation of 3D images of the, in vivo, beating zebrafish heart as Research Assistant to Dr Jonathan Taylor.
The zebrafish (Danio Rerio) is popular model organism in microscopy due to it's optical transparency and the wide range of fluorescence transgenic lines now available. Zebrafish are even more attractive as models for cardiac developmental biology due to the similarity to early mammalian heart development and, in cardiac injury and repair, due to their amazing ability to regenerate heart tissue.
Despite all these benefits, the constant motion of the heart is a major obstacle to live imaging and, in the past, fish have been fixed or their heartbeats have been pharmaceutically slowed down. Our research aims to develop the hardware and software needed to create truly synchronised 3D images of whole heartbeats over long time periods so that the long term effects of drugs or injury on heart and vasculature can be elucidated.
To this end we collaborate with researchers from the Centre for Cardiovascular Science at University of Edinburgh, where we're working towards detailed long-term studies of heart morphology and structure both during development and regeneration. This research is funded by the British Heart Foundation.
Chas Nelson submitted his PhD in Computer Science from Durham University in 2017. His thesis is titled "Mathematical Morphology for Quantification in Biological & Medical Analysis" and various mathematical approaches to image enhancement, feature detection and measurement of complex systems.
In 2013, he graduated from Durham University with a MSci in Biology and Physics within the Natural Sciences Programme; his master's thesis described a set of tools for quantifying and extracting novel information from scratch wound assays captured by phase contrast microscopy for cancer cell biology studies.
Room 246b, Kelvin Building,
University of Glasgow, Glasgow,
United Kingdom, G12 8QQ