Scanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging

Rare subcellular events can be tracked by correlating structural-information gathered by imaging with specific-molecule fluorescent identification. Here, the authors achieve this correlation in a quick and non-invasive way using microsphere-based scanning superlens microscopy.

Bibliographic Details
Main Authors:	Feifei Wang, Lianqing Liu, Haibo Yu, Yangdong Wen, Peng Yu, Zhu Liu, Yuechao Wang, Wen Jung Li
Format:	Article
Language:	English
Published:	Nature Publishing Group 2016-12-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/ncomms13748

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spelling	doaj-f2fe52f15cc04e3f86ae0f8ae55c30392021-05-11T10:38:55ZengNature Publishing GroupNature Communications2041-17232016-12-017111010.1038/ncomms13748Scanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imagingFeifei Wang0Lianqing Liu1Haibo Yu2Yangdong Wen3Peng Yu4Zhu Liu5Yuechao Wang6Wen Jung Li7State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of SciencesState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of SciencesState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of SciencesState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of SciencesState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of SciencesState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of SciencesState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of SciencesState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of SciencesRare subcellular events can be tracked by correlating structural-information gathered by imaging with specific-molecule fluorescent identification. Here, the authors achieve this correlation in a quick and non-invasive way using microsphere-based scanning superlens microscopy.https://doi.org/10.1038/ncomms13748
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Feifei Wang Lianqing Liu Haibo Yu Yangdong Wen Peng Yu Zhu Liu Yuechao Wang Wen Jung Li
spellingShingle	Feifei Wang Lianqing Liu Haibo Yu Yangdong Wen Peng Yu Zhu Liu Yuechao Wang Wen Jung Li Scanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging Nature Communications
author_facet	Feifei Wang Lianqing Liu Haibo Yu Yangdong Wen Peng Yu Zhu Liu Yuechao Wang Wen Jung Li
author_sort	Feifei Wang
title	Scanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging
title_short	Scanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging
title_full	Scanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging
title_fullStr	Scanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging
title_full_unstemmed	Scanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging
title_sort	scanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2016-12-01
description	Rare subcellular events can be tracked by correlating structural-information gathered by imaging with specific-molecule fluorescent identification. Here, the authors achieve this correlation in a quick and non-invasive way using microsphere-based scanning superlens microscopy.
url	https://doi.org/10.1038/ncomms13748
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Scanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging

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