期刊
BIOMEDICAL OPTICS EXPRESS
卷 8, 期 11, 页码 5087-5097出版社
OPTICAL SOC AMER
DOI: 10.1364/BOE.8.005087
关键词
-
资金
- National Science Foundation (NSF) [1350654, 1555576]
- Direct For Biological Sciences
- Div Of Biological Infrastructure [1555576, 1350654] Funding Source: National Science Foundation
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 mu m deep inside the central nervous system (CNS) of Drosophila melanogaster larvae achieving a resolution of 146 nm. (C) 2017 Optical Society of America.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据