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Career (summary):
Teaching:PH351: Wave Optics PH103: History of Astronomy PH402: Medical Image Processing (part) PH459: Applied Optics (part) Course materials are available to students via the Blackboard e-learning system. Research Interests:My background is in Astronomical Imaging with high spatial resolution, mostly involving Adaptive Optics and Image Processing. My current work in this area concerns the detection of extrasolar planets in data obtained using adaptive optics. I am also interested in the application of adaptive optics and other techniques to the enhancement of microscopy. In addition, I am supervising projects on Image processing of medical images; specifically on the study of retinal disease using adaptive-optics retinal images and the optimal detection of lesions in mammography. Here are some more details on these projects. I am keen to hear from prospective graduate students with an interest in working in any of these areas. In addition, I would be interested in discussing projects with potential Postdoctoral researchers.Exoplanet DetectionA large number of planets have been detected outside our solar system using indirect techniques (e.g. see here). Imaging of these exoplanets is extremely challenging given how close they are to their parent stars, and how much fainter. The brightness ratio with the parent star is of the order 10^-6 to 10^-9. Obtaining such images will require using large (or extremely large) telescopes, with practically perfect adaptive optics. Even so, residual speckle effects severely hamper our ability to unambiguously detect exoplanets. We have developed optimal techniques based on using knowledge of the data statistics. We have also developed a powerful inverse-problem approach applicable to multi-wavelength data. This exploits the fact that the position of residual speckles scales with wavelength, and this fact may be used to discriminate speckles from planets. We want to extend these approaches to future Extremely Large Telescopes.
High-resolution retinal image processingAdaptive optics is now used to provide images of the retina with unprecedented detail. Image processing can further enhance these images by selecting those images with the highest contrast, and precisely registering the images. We use a multi-resolution approach based on wavelets to carry out these tasks. We are also using wavelets to automatically detect photoreceptors (cones and rods) in the retinal images. Enhancing microscopy using Adaptive Optics and Computational ImagingImages obtained with microscopes may be blurred by aberrations introduced by the sample. Adaptive optics has been used recently to correct for these aberrations and provide clearer images. Alternatively, the aberrations can be measured and the correction applied in post-processing. We will be examining this possibility. We are also developing 3D microscopy based on plenoptic imaging; this technique allows several views of the sample to be obtained simultaneously. Subsequent image processing can be used to examine the sample from different perspectives, or to focus at different depths in the sample. Lesion detection in mammographyThe sort of optimal detection techniqes which we have developed for exoplanet images can be applied to many tasks; one example is the detection of lesions in mammographs. This is complicated by the fact that there are many different kinds of lesion, and the background tissue varies greatly between subjects. Recent Publications
Chapters"Adaptive Optics: Principles, Performance and Challenges", OtherI am a member of the Institute of Physics (http://www.iop.org), the International Astronomical Union (http://www.iau.org/) and OSA (http://www.osa.org). I am on the National committee of the IOP and the Optics group committee of the IOP
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