A good talk to attend for those interested in image analysis:
When: Friday, 3 August 2012 3:00 PM-4:00 PM (GMT+10:00) Brisbane.
Research Seminar: Dr Nick Hamilton, Institute for Molecular Bioscience, The University of Queensland
As many have noted, the 21st Century is the Century of Biology and the benefits of genomics will utterly transform medicine. The first wave of data on which this transformation will be built arrived with high-throughput sequencing technologies that enabled the complete sequencing of the human and other genomes. As attention turns to the functions and interactions of the tens of thousands of genes found, the second and more complex wave of data is arriving in the emerging field of high-throughput microscopy imaging of proteins and subcellular structures. As demonstrated by the award of the 2008 Nobel Prize in Chemistry for the discovery of GFP, microscopy imaging in live cells and organisms is proving an invaluable tool in understanding structure and function. These technologies are allowing us for the first time to directly view multiple proteins and cellular pathogens in real time in 2D and 3D as they are transported in their true contexts, living cells and organisms. By being able to directly view and compare live cells in diseased and normal states, as well as to perturb the systems with treatments, it is possible to begin the intricate process of understanding the networks, interactions and pathways of biological systems in normal and diseased states. Thus bio-image informatics is an essential part of the genomics revolution, and the third phase of the revolution is to integrate, analyse and model these massive new image sources to create a systems biology of cells and organisms in normal and diseased states.
While many areas of mathematical modelling of biological systems suffer from a sparsity of data, the new technologies provide extraordinarily data dense imaging that can be used as a foundation for robust quantification, modelling and prediction. The Institute for Molecular Bioscience through facilities such as the multi-million dollar ACRF Cancer Biology Imaging Facility has some of the most advanced bio-imaging microscopes in the world. These resources are generating a deluge of data and a key element of my group’s work is collaboration with the many groups exploiting these facilities to realize the benefit of these data and hence more fully understand the systems observed.
In this talk I will describe research of my group into new methods in mathematical modelling, quantification, analysis, automated classification, integration and visualisation of the rich and exciting new data becoming available through fluorescent microscopy imaging and associated technologies.