Widefield light sheet microscopy using an Airy beam combined with deep-learning super-resolution
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
ISSN
2578-7519Type
Journal article
Description
Funding: UK Engineering and Physical Sciences Research Council (EP/P030017/1, EP/R004854/1).Collections
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