Multiple signal classification algorithm for super-resolution fluorescence microscopy
Single-molecule localization microscopy offers super-resolution imaging, but needs a long acquisition time and a toxic photochemical environment. Here, the authors demonstrate a multiple signal classification algorithm that achieves a resolution of 50 nm with as few as 50 frames in a biologically co...
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Nature Portfolio
2016
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oai:doaj.org-article:cf8477f5b7a3429f92b81357ade60c0a2021-12-02T14:40:12ZMultiple signal classification algorithm for super-resolution fluorescence microscopy10.1038/ncomms137522041-1723https://doaj.org/article/cf8477f5b7a3429f92b81357ade60c0a2016-12-01T00:00:00Zhttps://doi.org/10.1038/ncomms13752https://doaj.org/toc/2041-1723Single-molecule localization microscopy offers super-resolution imaging, but needs a long acquisition time and a toxic photochemical environment. Here, the authors demonstrate a multiple signal classification algorithm that achieves a resolution of 50 nm with as few as 50 frames in a biologically conducive environment.Krishna AgarwalRadek MacháňNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-9 (2016) |
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Science Q Krishna Agarwal Radek Macháň Multiple signal classification algorithm for super-resolution fluorescence microscopy |
description |
Single-molecule localization microscopy offers super-resolution imaging, but needs a long acquisition time and a toxic photochemical environment. Here, the authors demonstrate a multiple signal classification algorithm that achieves a resolution of 50 nm with as few as 50 frames in a biologically conducive environment. |
format |
article |
author |
Krishna Agarwal Radek Macháň |
author_facet |
Krishna Agarwal Radek Macháň |
author_sort |
Krishna Agarwal |
title |
Multiple signal classification algorithm for super-resolution fluorescence microscopy |
title_short |
Multiple signal classification algorithm for super-resolution fluorescence microscopy |
title_full |
Multiple signal classification algorithm for super-resolution fluorescence microscopy |
title_fullStr |
Multiple signal classification algorithm for super-resolution fluorescence microscopy |
title_full_unstemmed |
Multiple signal classification algorithm for super-resolution fluorescence microscopy |
title_sort |
multiple signal classification algorithm for super-resolution fluorescence microscopy |
publisher |
Nature Portfolio |
publishDate |
2016 |
url |
https://doaj.org/article/cf8477f5b7a3429f92b81357ade60c0a |
work_keys_str_mv |
AT krishnaagarwal multiplesignalclassificationalgorithmforsuperresolutionfluorescencemicroscopy AT radekmachan multiplesignalclassificationalgorithmforsuperresolutionfluorescencemicroscopy |
_version_ |
1718390387051069440 |