File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

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

TitleScanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging
Authors
Issue Date2016
Citation
Nature Communications, 2016, v. 7, article no. 13748 How to Cite?
AbstractNanoscale correlation of structural information acquisition with specific-molecule identification provides new insight for studying rare subcellular events. To achieve this correlation, scanning electron microscopy has been combined with super-resolution fluorescent microscopy, despite its destructivity when acquiring biological structure information. Here we propose time-efficient non-invasive microsphere-based scanning superlens microscopy that enables the large-area observation of live-cell morphology or sub-membrane structures with sub-diffraction-limited resolution and is demonstrated by observing biological and non-biological objects. This microscopy operates in both non-invasive and contact modes with â 1/4200 times the acquisition efficiency of atomic force microscopy, which is achieved by replacing the point of an atomic force microscope tip with an imaging area of microspheres and stitching the areas recorded during scanning, enabling sub-diffraction-limited resolution. Our method marks a possible path to non-invasive cell imaging and simultaneous tracking of specific molecules with nanoscale resolution, facilitating the study of subcellular events over a total cell period.
Persistent Identifierhttp://hdl.handle.net/10722/325337
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, Feifei-
dc.contributor.authorLiu, Lianqing-
dc.contributor.authorYu, Haibo-
dc.contributor.authorWen, Yangdong-
dc.contributor.authorYu, Peng-
dc.contributor.authorLiu, Zhu-
dc.contributor.authorWang, Yuechao-
dc.contributor.authorLi, Wen Jung-
dc.date.accessioned2023-02-27T07:31:39Z-
dc.date.available2023-02-27T07:31:39Z-
dc.date.issued2016-
dc.identifier.citationNature Communications, 2016, v. 7, article no. 13748-
dc.identifier.urihttp://hdl.handle.net/10722/325337-
dc.description.abstractNanoscale correlation of structural information acquisition with specific-molecule identification provides new insight for studying rare subcellular events. To achieve this correlation, scanning electron microscopy has been combined with super-resolution fluorescent microscopy, despite its destructivity when acquiring biological structure information. Here we propose time-efficient non-invasive microsphere-based scanning superlens microscopy that enables the large-area observation of live-cell morphology or sub-membrane structures with sub-diffraction-limited resolution and is demonstrated by observing biological and non-biological objects. This microscopy operates in both non-invasive and contact modes with â 1/4200 times the acquisition efficiency of atomic force microscopy, which is achieved by replacing the point of an atomic force microscope tip with an imaging area of microspheres and stitching the areas recorded during scanning, enabling sub-diffraction-limited resolution. Our method marks a possible path to non-invasive cell imaging and simultaneous tracking of specific molecules with nanoscale resolution, facilitating the study of subcellular events over a total cell period.-
dc.languageeng-
dc.relation.ispartofNature Communications-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleScanning superlens microscopy for non-invasive large field-of-view visible light nanoscale imaging-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1038/ncomms13748-
dc.identifier.pmid27934860-
dc.identifier.pmcidPMC5476830-
dc.identifier.scopuseid_2-s2.0-85006051907-
dc.identifier.volume7-
dc.identifier.spagearticle no. 13748-
dc.identifier.epagearticle no. 13748-
dc.identifier.eissn2041-1723-
dc.identifier.isiWOS:000389537800001-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats