南洋理工大学招收计算物理学博士
About the Project
Apply to pursue a PhD in the Optical Theory Group, led by Matthew Foreman, where you will explore multiple scattering of optical waves in biological tissue, and exploit polarisation properties of light to enable in-vivo computational imaging techniques. Located at Nanyang Technological University in Singapore, this opportunity offers a unique and exciting environment for your research journey.
Diagnosis of conditions such as cancer, melanoma and cirrhosis, frequently requires an invasive biopsy to allow closer inspection of the suspect tissue. In-vivo imaging techniques, however, aim to mitigate this need by allowing tissue to be inspected directly inside a living patient, whilst also providing a powerful tool for fundamental biological research. Light-based technology promises good image resolution in turn providing medical practitioners greater confidence in their diagnoses, however inspection of deep tissue is challenging since light can scatter as it travels through tissue due to the different cellular structures that exist. This strong scattering unfortunately scrambles the image of the tissue under inspection, causing it to look like a random speckled pattern. Optical techniques, although capable of resolving intracellular organelles, are therefore limited by scattering to imaging depths of a few millimetres if only unscattered light is considered. Several techniques for sub-diffraction imaging through random media at greater depths have however recently been successfully demonstrated, which extract optical information carried by scattered light, instead of trying to correct for scattering's detrimental effects. Through use of suitable computational algorithms, images can then be reconstructed. Existing techniques are invariably based on measurements of optical intensity or wavelength. Such measurements forego the additional information afforded by study of the degrees of freedom associated with the polarisation of light. Polarization imaging modalities offer additional contrast mechanisms in biological imaging, such as quantification of collagen density through study of tissue birefringence or diattenuation. Furthermore polarisation measurements can reveal the micro-structure and composition of tissues, e.g. structural differences in elastin can result from burns, photodamage and/or the development of skin cancer.
This PhD project will focus on theoretically establishing novel computational techniques for polarisation imaging through disordered media, for example by exploiting polarisation correlations and higher order statistical properties, and develop a strong theoretical understanding of the information that is preserved in spite of tissue scattering with a particular focus on the polarisation properties of optical waves. The PhD student will help build both analytic and computational models to describe evolution of polarised light in random media and analyse a number of key problems including control of local polarisation in deep tissue, localisation and orientational measurements of buried fluorescent molecules and determination of structural properties of scattering tissues. The ideal candidate has a keen enthusiasm for theoretical optics and an interest in development of new methodologies for bioimaging. They would have a first degree in physics, mathematics or engineering with strong analytical, mathematical and programming skills. We consider an applicant's Grade Point Average (GPA) an important factor in assessing their suitability.
About the Group
We are a theoretical research group at the School of Electrical and Electronic Engineering and the Institute for Digital Molecular Analytics and Science at Nanyang Technological University, Singapore. The group is lead by Assistant Professor Matthew R. Foreman (PhD, MPhys). We have a strong background in physics and optical modelling.
Our research focuses on optical and plasmonic sensing, polarisation sensitive imaging, disordered media and electromagnetic theory. We seek to drive progress in quantitative bioimaging and sensing, through development of novel modalities, system modelling and optimisation, and fundamental physical insights.
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