Modelling spatial distributions of macromolecules in cells

Outline:

High resolution microscopic images can be used to quantify and localise the presence of macromolecules such as proteins in cells. A number of correlation based scores have been used to quantify the relative abundance of one protein versus another one, but it is unclear which should be applied in which circumstances and they only measure very basic properties. A spatially localised modification needs to be developed and scores for more than 2 types need to be developed. Furthermore, with the increased use of videos, the challenge to generalise this to time series of scores is on. Applications reach from understanding fundamental cellulaire processes to evaluating medical treatments. This project involves collaboration with Steve Royle from the Warwick Medical School Centre for Mechanochemical Cell Biology.