Durham University has world leading expertise in Intelliget Imaging, in the following areas:
- BioImage Informatics
- 3D Visualisation
- Vision (Human Perception, Cognition and Action)
- MRI Imaging
BioImage Informatics is a rapidly advancing field of new computational technologies which bridges the gap between imaging, bioscience and computer science and provides novel image informatics solutions aimed at a better quantitative understanding of the complex biological processes which occur at all scale levels, from nano to macro. The theme encompasses research from Biology, Medicine, Chemistry, Physics, Mathematics and Computing sciences. Durham’s internationally recognised expertise on all aspects of bio-imaging puts Durham in a unique position to address challenges in biosciences: from the structures and functions of biological molecules, through to cells, tissues and organisms and to the entire global ecosystem; including all types of living organisms: from bacteria, through the plant and animal kingdoms, to human health and disease.
- Imaging and quantitative description of beating Zebra fish hearts using Single Plane Illumination Microscopy
- Determination of the mechanism of cytoskeletal reorganisation in response to pathogen infection
- Imaging, analysis and modelling the vertebrate Zebra fish eye lens
- Functional analysis, spatiotemporal dynamics and regulation of NETWORKED2, an actin cytoskeleton-membrane bridge at the pollen plasma membrane
- Identifying strategies to reinforce wheat defence
Visualization today has ever-expanding applications in science, education, engineering, interactive multimedia, medicine, etc. In particular, scientific visualization is the transformation, selection, or representation of data from simulations or experiments, with an implicit or explicit geometric structure, to allow the exploration, analysis, and understanding of the data. Scientific visualization focuses and emphasizes the representation of higher order data using primarily graphics and animation techniques. It is a very important part of visualization and maybe the first one, as the visualization of experiments and phenomena is as old as science itself. Traditional areas of scientific visualization are flow visualization, medical visualization, astrophysical visualization, and chemical visualization. There are several different techniques to visualize scientific data, with isosurface reconstruction and direct volume rendering being the more common.
Vision (Human Perception, Cognition and Action)
The theme is concerned with the fundamental processes of human perception. The primary issues are how objects are remembered in the brain so that humans can recognize and manipulate them as well as how the information from different sense organs is integrated to create a consistent representation of the “world in the head”. The research focuses on object and face recognition, the perception of space, the integration of information from the visual, haptic and balance senses and, based on the results of research into perception, on the development of efficient algorithms for machine vision and computer graphics. The technical equipment for investigating these questions includes hardware such as movement simulators and projection screens for virtual environments.