St Andrews Research Repository

St Andrews University Home
View Item 
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  •   St Andrews Research Repository
  • University of St Andrews Research
  • University of St Andrews Research
  • University of St Andrews Research
  • View Item
  • Register / Login
JavaScript is disabled for your browser. Some features of this site may not work without it.

Widefield light sheet microscopy using an Airy beam combined with deep-learning super-resolution

Thumbnail
View/Open
Corsetti_2020_Widefield_light_sheet_OASCont_1068_CC.pdf (5.574Mb)
Date
15/04/2020
Author
Corsetti, Stella
Wijesinghe, Philip
Poulton, Persephone Beatrice
Sakata, Shuzo
Vyas, Kushi
Herrington, C Simon
Nylk, Jonathan
Gasparoli, Federico Maria
Dholakia, Kishan
Funder
EPSRC
EPSRC
Grant ID
EP/P030017/1
EP/R004854/1
Keywords
QC Physics
QH301 Biology
RB Pathology
RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
DAS
SDG 3 - Good Health and Well-being
Metadata
Show full item record
Abstract
Imaging across length scales and in depth has been an important pursuit of widefield optical imaging, promising to reveal fine cellular detail within a widefield snapshot of a tissue sample. Current advances often sacrifice resolution through selective sub-sampling to provide a wide field of view in a reasonable time scale. We demonstrate a new avenue for recovering high-resolution images from sub-sampled data in light-sheet microscopy using deep-learning super-resolution. We combine this with the use of a widefield Airy beam to achieve high-resolution imaging over extended fields of view and depths. We characterise our method on fluorescent beads as test targets, and demonstrate improvements in imaging amyloid plaques in a cleared brain from a mouse model of Alzheimer's disease, and in excised healthy and cancerous colon and breast tissues. This development can be widely applied in all forms of light sheet microscopy to provide a two-fold increase in the dynamic range of the imaged length scale. It has the potential to provide further insight into neuroscience, developmental biology and histopathology.
Citation
Corsetti , S , Wijesinghe , P , Poulton , P B , Sakata , S , Vyas , K , Herrington , C S , Nylk , J , Gasparoli , F M & Dholakia , K 2020 , ' Widefield light sheet microscopy using an Airy beam combined with deep-learning super-resolution ' , OSA Continuum , vol. 3 , no. 4 , pp. 1068-1083 . https://doi.org/10.1364/OSAC.391644
Publication
OSA Continuum
Status
Peer reviewed
DOI
https://doi.org/10.1364/OSAC.391644
ISSN
2578-7519
Type
Journal article
Rights
Copyright © 2020 the Author(s). Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Description
Funding: UK Engineering and Physical Sciences Research Council (EP/P030017/1, EP/R004854/1).
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/19804

Items in the St Andrews Research Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

Advanced Search

Browse

All of RepositoryCommunities & CollectionsBy Issue DateNamesTitlesSubjectsClassificationTypeFunderThis CollectionBy Issue DateNamesTitlesSubjectsClassificationTypeFunder

My Account

Login

Open Access

To find out how you can benefit from open access to research, see our library web pages and Open Access blog. For open access help contact: openaccess@st-andrews.ac.uk.

Accessibility

Read our Accessibility statement.

How to submit research papers

The full text of research papers can be submitted to the repository via Pure, the University's research information system. For help see our guide: How to deposit in Pure.

Electronic thesis deposit

Help with deposit.

Repository help

For repository help contact: Digital-Repository@st-andrews.ac.uk.

Give Feedback

Cookie policy

This site may use cookies. Please see Terms and Conditions.

Usage statistics

COUNTER-compliant statistics on downloads from the repository are available from the IRUS-UK Service. Contact us for information.

© University of St Andrews Library

University of St Andrews is a charity registered in Scotland, No SC013532.

  • Facebook
  • Twitter