Development of live-cell, automated microscopy techniques for studying malaria (Masters option available)

Development of live-cell, automated microscopy techniques for studying malaria (Masters option available)

Project details

Real-time imaging of cell dynamics is becoming more common, however, live cell and quantitative microscopy approaches remain a significant challenge due to the volume of data generated (1TB per day) and the necessity to maintain cell viability. The aim of this project is to develop a smart adaptive processing workflow to automatically identify and capture only relevant events. We will apply this framework to automatically detect different stages of blood cell infection by the malaria parasite. This interdisciplinary research project would suit students with an interest in engineering or computer programming.  

Novel imaging methods provide an unprecedented view of blood cell infection by the malaria parasite and can provide new insights for preventing and treating this devastating disease. 

About our research group

The  Rogers Lab works closely with researchers to design and execute optical imaging experiments.  We are a multidisciplinary team, which develops and applies live cell imaging and automated image analysis routines that are tailored to studies on host-pathogen interactions, immune cell function and cancer. A major goal of our lab is to automate the capture of biological imaging data and provide a basis for more robust quantitative analyses.  

Key collaborators: Professor Alan Cowman and Dr Michal Pasternak 

Further reading: Volz, Yap, Siquella et al. Essential role of the PfRh5/PfRipr/CyRPA Complex during Plasmodium falciparum invasion of erythrocytes. Cell Host & Microbe, 2016, 20(1):60-71. 

Researchers:

Dr Kelly Rogers

Dr Kelly Rogers
Dr
Kelly
Rogers
Head, Imaging Laboratory
Dr Lachlan Whitehead
Dr
Lachlan
Whitehead
Systems Biology and Personalised Medicine division
Dr Thomas Boudier profile photo
Dr
Thomas
Boudier
Systems Biology and Personalised Medicine division

Project Type: