Super-resolution imaging strategies for cell biologists using a spinning disk microscope.

In this study we use a spinning disk confocal microscope (SD) to generate super-resolution images of multiple cellular features from any plane in the cell. We obtain super-resolution images by using stochastic intensity fluctuations of biological probes, combining Photoactivation Light-Microscopy (P...

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Main Authors: Neveen A Hosny, Mingying Song, John T Connelly, Simon Ameer-Beg, Martin M Knight, Ann P Wheeler
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3793996?pdf=render
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spelling doaj-9643c2c714fa4015a71fd5089b8fb11e2020-11-25T02:14:17ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01810e7460410.1371/journal.pone.0074604Super-resolution imaging strategies for cell biologists using a spinning disk microscope.Neveen A HosnyMingying SongJohn T ConnellySimon Ameer-BegMartin M KnightAnn P WheelerIn this study we use a spinning disk confocal microscope (SD) to generate super-resolution images of multiple cellular features from any plane in the cell. We obtain super-resolution images by using stochastic intensity fluctuations of biological probes, combining Photoactivation Light-Microscopy (PALM)/Stochastic Optical Reconstruction Microscopy (STORM) methodologies. We compared different image analysis algorithms for processing super-resolution data to identify the most suitable for analysis of particular cell structures. SOFI was chosen for X and Y and was able to achieve a resolution of ca. 80 nm; however higher resolution was possible >30 nm, dependant on the super-resolution image analysis algorithm used. Our method uses low laser power and fluorescent probes which are available either commercially or through the scientific community, and therefore it is gentle enough for biological imaging. Through comparative studies with structured illumination microscopy (SIM) and widefield epifluorescence imaging we identified that our methodology was advantageous for imaging cellular structures which are not immediately at the cell-substrate interface, which include the nuclear architecture and mitochondria. We have shown that it was possible to obtain two coloured images, which highlights the potential this technique has for high-content screening, imaging of multiple epitopes and live cell imaging.http://europepmc.org/articles/PMC3793996?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Neveen A Hosny
Mingying Song
John T Connelly
Simon Ameer-Beg
Martin M Knight
Ann P Wheeler
spellingShingle Neveen A Hosny
Mingying Song
John T Connelly
Simon Ameer-Beg
Martin M Knight
Ann P Wheeler
Super-resolution imaging strategies for cell biologists using a spinning disk microscope.
PLoS ONE
author_facet Neveen A Hosny
Mingying Song
John T Connelly
Simon Ameer-Beg
Martin M Knight
Ann P Wheeler
author_sort Neveen A Hosny
title Super-resolution imaging strategies for cell biologists using a spinning disk microscope.
title_short Super-resolution imaging strategies for cell biologists using a spinning disk microscope.
title_full Super-resolution imaging strategies for cell biologists using a spinning disk microscope.
title_fullStr Super-resolution imaging strategies for cell biologists using a spinning disk microscope.
title_full_unstemmed Super-resolution imaging strategies for cell biologists using a spinning disk microscope.
title_sort super-resolution imaging strategies for cell biologists using a spinning disk microscope.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description In this study we use a spinning disk confocal microscope (SD) to generate super-resolution images of multiple cellular features from any plane in the cell. We obtain super-resolution images by using stochastic intensity fluctuations of biological probes, combining Photoactivation Light-Microscopy (PALM)/Stochastic Optical Reconstruction Microscopy (STORM) methodologies. We compared different image analysis algorithms for processing super-resolution data to identify the most suitable for analysis of particular cell structures. SOFI was chosen for X and Y and was able to achieve a resolution of ca. 80 nm; however higher resolution was possible >30 nm, dependant on the super-resolution image analysis algorithm used. Our method uses low laser power and fluorescent probes which are available either commercially or through the scientific community, and therefore it is gentle enough for biological imaging. Through comparative studies with structured illumination microscopy (SIM) and widefield epifluorescence imaging we identified that our methodology was advantageous for imaging cellular structures which are not immediately at the cell-substrate interface, which include the nuclear architecture and mitochondria. We have shown that it was possible to obtain two coloured images, which highlights the potential this technique has for high-content screening, imaging of multiple epitopes and live cell imaging.
url http://europepmc.org/articles/PMC3793996?pdf=render
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