Widefield light sheet microscopy using an Airy beam combined with deep-learning super-resolution
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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.
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
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.
DescriptionFunding: UK Engineering and Physical Sciences Research Council (EP/P030017/1, EP/R004854/1).
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