UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Three-dimensional adaptive optical nanoscopy for thick specimen imaging at sub-50-nm resolution

Hao, Xiang; Allgeyer, Edward S; Lee, Dong-Ryoung; Antonello, Jacopo; Watters, Katherine; Gerdes, Julianne A; Schroeder, Lena K; ... Bewersdorf, Joerg; + view all (2021) Three-dimensional adaptive optical nanoscopy for thick specimen imaging at sub-50-nm resolution. Nature Methods , 18 pp. 688-693. 10.1038/s41592-021-01149-9. Green open access

[thumbnail of EMS121957.pdf]
Preview
Text
EMS121957.pdf - Accepted Version

Download (5MB) | Preview

Abstract

Understanding cellular organization demands the best possible spatial resolution in all three dimensions. In fluorescence microscopy, this is achieved by 4Pi nanoscopy methods that combine the concepts of using two opposing objectives for optimal diffraction-limited 3D resolution with switching fluorescent molecules between bright and dark states to break the diffraction limit. However, optical aberrations have limited these nanoscopes to thin samples and prevented their application in thick specimens. Here we have developed an improved iso-stimulated emission depletion nanoscope, which uses an advanced adaptive optics strategy to achieve sub-50-nm isotropic resolution of structures such as neuronal synapses and ring canals previously inaccessible in tissue. The adaptive optics scheme presented in this work is generally applicable to any microscope with a similar beam path geometry involving two opposing objectives to optimize resolution when imaging deep in aberrating specimens.

Type: Article
Title: Three-dimensional adaptive optical nanoscopy for thick specimen imaging at sub-50-nm resolution
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/s41592-021-01149-9
Publisher version: https://doi.org/10.1038/s41592-021-01149-9
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Life Sciences & Biomedicine, Biochemical Research Methods, Biochemistry & Molecular Biology, STED MICROSCOPY, 4PI, OPTIMIZATION
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Experimental Epilepsy
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10146697
Downloads since deposit
2,541Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item