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Spatial Covariance Reconstructive (SCORE) Super-Resolution Fluorescence Microscopy
Super-resolution fluorescence microscopy has become a powerful tool to resolve structural information that is not accessible to traditional diffraction-limited imaging techniques such as confocal microscopy. Stochastic optical reconstruction microscopy (STORM) and photoactivation localization micros...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4005777/ https://www.ncbi.nlm.nih.gov/pubmed/24788039 http://dx.doi.org/10.1371/journal.pone.0094807 |
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author | Deng, Yi Sun, Mingzhai Lin, Pei-Hui Ma, Jianjie Shaevitz, Joshua W. |
author_facet | Deng, Yi Sun, Mingzhai Lin, Pei-Hui Ma, Jianjie Shaevitz, Joshua W. |
author_sort | Deng, Yi |
collection | PubMed |
description | Super-resolution fluorescence microscopy has become a powerful tool to resolve structural information that is not accessible to traditional diffraction-limited imaging techniques such as confocal microscopy. Stochastic optical reconstruction microscopy (STORM) and photoactivation localization microscopy (PALM) are promising super-resolution techniques due to their relative ease of implementation and instrumentation on standard microscopes. However, the application of STORM is critically limited by its long sampling time. Several recent works have been focused on improving the STORM imaging speed by making use of the information from emitters with overlapping point spread functions (PSF). In this work, we present a fast and efficient algorithm that takes into account the blinking statistics of independent fluorescence emitters. We achieve sub-diffraction lateral resolution of 100 nm from 5 to 7 seconds of imaging. Our method is insensitive to background and can be applied to different types of fluorescence sources, including but not limited to the organic dyes and quantum dots that we demonstrate in this work. |
format | Online Article Text |
id | pubmed-4005777 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-40057772014-05-09 Spatial Covariance Reconstructive (SCORE) Super-Resolution Fluorescence Microscopy Deng, Yi Sun, Mingzhai Lin, Pei-Hui Ma, Jianjie Shaevitz, Joshua W. PLoS One Research Article Super-resolution fluorescence microscopy has become a powerful tool to resolve structural information that is not accessible to traditional diffraction-limited imaging techniques such as confocal microscopy. Stochastic optical reconstruction microscopy (STORM) and photoactivation localization microscopy (PALM) are promising super-resolution techniques due to their relative ease of implementation and instrumentation on standard microscopes. However, the application of STORM is critically limited by its long sampling time. Several recent works have been focused on improving the STORM imaging speed by making use of the information from emitters with overlapping point spread functions (PSF). In this work, we present a fast and efficient algorithm that takes into account the blinking statistics of independent fluorescence emitters. We achieve sub-diffraction lateral resolution of 100 nm from 5 to 7 seconds of imaging. Our method is insensitive to background and can be applied to different types of fluorescence sources, including but not limited to the organic dyes and quantum dots that we demonstrate in this work. Public Library of Science 2014-04-30 /pmc/articles/PMC4005777/ /pubmed/24788039 http://dx.doi.org/10.1371/journal.pone.0094807 Text en © 2014 Deng et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Deng, Yi Sun, Mingzhai Lin, Pei-Hui Ma, Jianjie Shaevitz, Joshua W. Spatial Covariance Reconstructive (SCORE) Super-Resolution Fluorescence Microscopy |
title | Spatial Covariance Reconstructive (SCORE) Super-Resolution Fluorescence Microscopy |
title_full | Spatial Covariance Reconstructive (SCORE) Super-Resolution Fluorescence Microscopy |
title_fullStr | Spatial Covariance Reconstructive (SCORE) Super-Resolution Fluorescence Microscopy |
title_full_unstemmed | Spatial Covariance Reconstructive (SCORE) Super-Resolution Fluorescence Microscopy |
title_short | Spatial Covariance Reconstructive (SCORE) Super-Resolution Fluorescence Microscopy |
title_sort | spatial covariance reconstructive (score) super-resolution fluorescence microscopy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4005777/ https://www.ncbi.nlm.nih.gov/pubmed/24788039 http://dx.doi.org/10.1371/journal.pone.0094807 |
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