Active Cells, Biochemistry & Physiology Genetics & Molecular Biology

Multiscale superresolution microscopy

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A new microscope technique will stitch together images from the nanoscale to the millimetre scale—a range spanning five orders of magnitude—in a single, video-rate view. Today’s microscopes force a trade-off: you can see tiny details in a single cell, or you can watch a whole group of cells move, but not both at once. This project removes that barrier by fusing computational imaging, spectral imaging, and fluorescence lifetime imaging into one system. The student will build algorithms and optical designs that map biological structures and chemical concentrations in three dimensions, from cell membranes up to entire cell collectives, without stopping to switch instruments. If it works, biologists and clinicians could watch, in real time, how a drug spreads through a tumour or how immune cells organise at a wound site—details now invisible at either scale alone. The work is fundamental science: it pushes the limits of how we capture light and turn it into quantitative data. Past leaps in superresolution microscopy have already reshaped cell biology; this project extends that reach across length scales, opening doors to questions about how molecular events drive tissue-level behaviour.

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This PhD project aims to develop an exciting new microscopy technique for imaging and sensing across length scales that span five orders of magnitude: from nanometres to millimetres; from cell membranes to cell collectives. Building on our techniques in computational imaging, spectral imaging and fluorescence lifetime imaging, the student will develop techniques for measuring nanoscale-variations that could be used to quantitively map biological structure and chemical concentrations in three dimensions and at video rates. The research will involve the fusion of the science of imaging and sensing, optical-system design and computer algorithms for quantitative generation of images. The project will involve developing creative solutions, rigorous modelling and experimental optics. Modelling and algorithm development will be in a high-level programming language (eg MatLab, Python or Mathematica for general purpose programming or Zemax for modelling of image systems).

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Related Research

Grants with similar aims, by meaning.

Computational localisation microscopy in three dimensions
PhD: Real-time nanoscale imaging in live cells - High Speed Single Molecule Localisation Microscopy
Super-resolution imaging of biological organisms: seeing below the classical limits
MICA: Imaging of cellular dynamics from single molecules to tissues
Imaging cellular structure and function beyond the diffraction limit

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