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Michael Mazilu

Researcher at University of St Andrews

Publications -  213
Citations -  7539

Michael Mazilu is an academic researcher from University of St Andrews. The author has contributed to research in topics: Angular momentum & Optical tweezers. The author has an hindex of 42, co-authored 213 publications receiving 6730 citations. Previous affiliations of Michael Mazilu include Centre national de la recherche scientifique & University of Arizona.

Papers
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Proceedings ArticleDOI

Optical trapping with a perfect vortex beam

TL;DR: In this article, the authors used an annular illuminating beam with a xed intensity prole on an SLM that imposes a chosen topological charge to create a perfect vortex beam.
Journal ArticleDOI

Exploring the ultrashort pulse laser parameter space for membrane permeabilisation in mammalian cells.

TL;DR: The experimental findings provide a step towards the optimisation of laser-mediated gene delivery into mammalian cells by quantifying the efficiency of optoinjection for pulse duration, pulse energy and number of pulses.
Journal ArticleDOI

Fluorescence suppression within Raman spectroscopy using annular beam excitation

TL;DR: In this article, the authors demonstrate how the use of an annular beam can significantly reduce the detected fluorescence from optical components within a Raman spectroscopic arrangement, where the signal from the annular signal is collected through the dark center of the excitation light field.
Journal ArticleDOI

Optical impedance of metallic nano-structures.

TL;DR: In this paper, a scattering matrix approach is proposed to characterize the characteristic, iterative, image and wave impedances of an optical system and a numerical model is presented to explore each form of impedance matching in metal-dielectric structures.
Journal ArticleDOI

Quantitative Detection of Pharmaceuticals Using a Combination of Paper Microfluidics and Wavelength Modulated Raman Spectroscopy

TL;DR: The ability to suppress the background fluorescence of the paper using WMRS and the subsequent implementation of this technique for pharmaceutical analysis is demonstrated and it is demonstrated that it is possible to discriminate between both paracetamol and ibuprofen, whilst, also being able to detect the presence of each analyte quantitatively at nanomolar concentrations.