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Project

Faster imaging with reduced toxicity through compressed sensing and data learning

Confocal-based and wide-field fluorescence microscopy are widely used techniques to investigate inter- and intracellular phenomena in live-cells and organoid systems. In these high-dimensional systems, the temporal and spatial resolution are limited by phototoxicity and imaging speed and there are no ways to efficiently deal with this. The aim of the project is to enhance imaging performance (faster, less light exposure), while retaining the same available information to provide higher-fidelity images from complex and heterogeneous samples. The approach operates on the compressed sensing principle to exploit the underlying micro- and macro-structure of the data, obtained by learning (from) the sample during the analysis, and enables to reconstruct the full information with fewer samples than the Nyquist-Shannon theory requires. The developments will initially be applied and validated on typical super-resolution fluorescence microscopies, for two-dimensional and three-dimensional imaging of living cells and will then be used for the imaging of organoids to have a better understanding of morphogenesis in response to combinatorial 3D artificial extracellular matrices. The final result is a robust framework for a faster, better, and less phototoxic imaging, that can deal with optical distortions and aberrations

Date:1 Oct 2018 →  15 Sep 2021
Keywords:reduced toxicity, compressed sensing, data learning
Disciplines:Inorganic chemistry, Organic chemistry, Theoretical and computational chemistry, Other chemical sciences, Biochemistry and metabolism, Medical biochemistry and metabolism, Systems biology