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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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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