Spectroscopic super-resolution fluorescence cell imaging using ultra-small Ge quantum dots
Abstract
In single molecule localisation super-resolution microscopy the need for repeated image capture limits the imaging speed, while the size of fluorescence probes limits the possible theoretical localisation resolution. Here, we demonstrated a spectral 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 (Qdot) and in-house 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 QDs localisation. We demonstrate that this methodology results in ~ 40 nm localisation resolution using commercial QDs and ~12 nm localisation resolution using Ge QDs. Using a standard scanning confocal microscope we achieved data acquisition rate of 1.6 seconds/frame. However, we show that this approach has a potential to deliver data acquisition rates on ms scale thus providing super-resolution in live systems.
Cite
@article{arxiv.1503.09151,
title = {Spectroscopic super-resolution fluorescence cell imaging using ultra-small Ge quantum dots},
author = {Mingying Song and Ali Karatutlu and Osman Ersoy and Yun Zhou and Yongxin Yang and Yuanpeng Zhang and William R. Little and Ann P. Wheeler and Andrei V. Sapelkin},
journal= {arXiv preprint arXiv:1503.09151},
year = {2015}
}
Comments
This paper has been withdrawn by the authors due to an author dispute. This paper will not be replaced or revised