Organoids and AI-based image analysis to study responses to infection and drug treatment

Project Overview

This project will take advantage of recently developed cutting-edge laboratory and computational techniques to explore how infections alter the characteristics of cells and tissues, leading to tumorigenesis.  In particular, this project will use organoids – 3D tissue models that act as ‘mini’ organs – as a physiologically relevant and easy-to-manipulate system to study infection. This may be coupled with sophisticated automated motion analysis – or artificial intelligence (AI) - approaches that have been developed in our group to study the 3D complexity of organoids and to track pathogen infection. As such, this project will suit a student with joint interest in laboratory-based research and computational analysis.

Training Opportunities

A wide range of molecular and cellular biology techniques, DNA, RNA and protein analysis techniques. The candidate will learn organoid culture and techniques essential for working with specific pathogens. They will also receive training in microscopy imaging, high-throughput microscopy, image analysis, and bioimaging informatics. The technical focus of the project will be set in concordance to the candidate’s prior training and experience.

Theme

Cancer Biology and Immunology & Infectious Disease

Admissions

Project reference number: 949

Funding and admissions information

Supervisors

Name Department Institution Country Email
Professor Xin Lu Oxford Ludwig Institute Oxford University, Old Road Campus Research Building GBR xin.lu@ludwig.ox.ac.uk
Professor Jens Rittscher Target Discovery Institute Oxford University, NDM Research Building GBR jens.rittscher@eng.ox.ac.uk

There are no publications listed for this DPhil project.