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Presentation Information     2018-04-20 (13:15)   •  4307

Speaker Boguslaw Obara  (CBA)
Comment Department of Computer Science, University of Durham, UK
Type External presentation
Title BioImage Informatics: Where BioImaging Meets Computer Science
Abstract 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.

Short Bio: I have a MSc degree in Computational Physics (2001) from the Jagiellonian University, Krakow Poland and a PhD in Image Processing (2007) from the AGH University of Science and Technology, Krakow, Poland. I have held a research assistant position in Computer Vision Laboratory, ETH, Zurich, Switzerland, a Fulbright Fellow position in the Vision Research Laboratory, University of California, Santa Barbara, CA, USA, and postdoctoral researcher positions in the Center for BioImage Informatics, University of California, Santa Barbara, CA, USA, and in Oxford’s e-Research Centre and Oxford’s Centre for Integrative Systems Biology, University of Oxford, Oxford, UK. I am currently an Associate Professor of Computer Science at Durham University, UK. My main area of specialty is in image/video analysis, processing and understanding, with applications in biology (microscope imaging: AFM, SEM, super-res, confocal, DIC, phase, ...), medicine (OCT, X-Ray, CT, MRI, ...), arts and humanities, and engineering (polarized light microscopy, ...). I lead a one of the largest, most diverse and dynamic research groups within Durham University. My research and impact activities are funded by a wide range of sources, including Procter & Gamble, Unilever, Microsoft, IBM, Nikon, Boeing, NVIDIA, AstraZeneca, Dyson, and UK/EU research funding bodies.