Isma Ali

King's College London

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Ann P. Wheeler

University of Edinburgh

Xin Yang

Hunan University

Ali Karatutlu

Bilkent University

William Little

Texas Tech University

Andrei Sapelkin

Queen Mary University of London

Yuanpeng Zhang

Oak Ridge National Laboratory

Osman Ersoy

Queen Mary University of London

Mingying Song

Northwest Institute of Nuclear Technology

Yun Zhou

Nanjing University of Chinese Medicine

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Queen Mary University of London

Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine

Transnational Press London

University of Edinburgh

MRC Institute of Genetics and Molecular Medicine

Edinburgh Cancer Research

Western General Hospital

Edinburgh College

Imperial College London

Royal London Hospital

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Spectroscopic super-resolution fluorescence cell imaging using ultra-small Ge quantum dots

Optics Express (2017)

Mingying Song Ali Karatutlu Isma Ali Osman Ersoy Yun Zhou

We demonstrate a spectroscopic imaging based super-resolution approach by separating the overlapping diffraction spots into several detectors during a single scanning period and taking advantage of the size-dependent emission wavelength in nanoparticles.This approach has been tested using off-the-shelf quantum dots (Invitrogen Qdot) and inhouse novel ultra-small (~3 nm) Ge QDs.Furthermore, we developed a method-specific Gaussian fitting and maximum likelihood estimation based on a Matlab algorithm for fast QD localisation.This methodology results in a three-fold improvement in the number of localised QDs compared to non-spectroscopic images.With the addition of advanced ultrasmall Ge probes, the number can be improved even further, giving at least 1.5 times improvement when compared to Qdots.Using a standard scanning confocal microscope we achieved a data acquisition rate of 200 ms per image frame.This is an improvement on single molecule localisation super-resolution microscopy where repeated image capture limits the imaging speed, and the size of fluorescence probes limits the possible theoretical localisation resolution.We show that our spectral deconvolution approach has a potential to deliver data acquisition rates on the ms scale thus providing super-resolution in live systems.

Fluorescence-lifetime imaging microscopy

10.1364/oe.25.004240

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