Adaptive optics stochastic optical reconstruction microscopy (AO-STORM) by particle swarm optimization

Stochastic optical reconstruction microscopy (STORM) can achieve resolutions of better than 20nm imaging single fluorescently labeled cells. However, when optical aberrations induced by larger biological samples degrade the point spread function (PSF), the localization accuracy and number of localiz...

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Bibliographic Details
Published in:Biomedical optics express 2017-11, Vol.8 (11), p.5087-5097
Main Authors: Tehrani, Kayvan F, Zhang, Yiwen, Shen, Ping, Kner, Peter
Format: Article
Language:English
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Summary:Stochastic optical reconstruction microscopy (STORM) can achieve resolutions of better than 20nm imaging single fluorescently labeled cells. However, when optical aberrations induced by larger biological samples degrade the point spread function (PSF), the localization accuracy and number of localizations are both reduced, destroying the resolution of STORM. Adaptive optics (AO) can be used to correct the wavefront, restoring the high resolution of STORM. A challenge for AO-STORM microscopy is the development of robust optimization algorithms which can efficiently correct the wavefront from stochastic raw STORM images. Here we present the implementation of a particle swarm optimization (PSO) approach with a Fourier metric for real-time correction of wavefront aberrations during STORM acquisition. We apply our approach to imaging boutons 100 μm deep inside the central nervous system (CNS) of larvae achieving a resolution of 146 nm.
ISSN:2156-7085
2156-7085
DOI:10.1364/BOE.8.005087