BioImage Informatics: Where BioImaging Meets Computer Science
October 25, 2017
CM221 (Maths department)
About this event
Time: 12 noon – 1:00pm
Location: CM221 (Maths department)
Recent advances in imaging technologies are now enabling us to acquire image data, where the sheer size and complexity of the data exceeds the capacity of human analysis, creating a fundamental barrier that hinders the potential impact of imaging-enabled biology. New revolutions in the field can be made possible only by developing the tools, technologies and workflows to extract and exploit information from imaging data so as to achieve new fundamental biological insights and understanding, as well as developing possible strategies in biotechnological applications.
Here, we propose to integrate bioimaging data and bioimage informatics to investigate the multi-scale topology and dynamics of complex biological systems. We have developed a wide range of high-throughput image processing approaches specifically designed to enhance, extract, analyse and model a wide range of biological structures, including molecules, plant cells and their organelles, pollen tubes, fungal and cytoskeletal networks, leaves, and many more, from multidimensional images obtained by a wide spectrum of bioimaging modalities.
Boguslaw Obara, Department of Computer Science, University of Durham, UK.