Weigert, M;
Schmidt, U;
Boothe, T;
Mueller, A;
Dibrov, A;
Jain, A;
Wilhelm, B;
... Myers, EW; + view all
(2018)
Content-aware image restoration: pushing the limits of fluorescence microscopy.
Nature Methods
, 15
(12)
pp. 1090-1097.
10.1038/s41592-018-0216-7.
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Abstract
Fluorescence microscopy is a key driver of discoveries in the life sciences, with observable phenomena being limited by the optics of the microscope, the chemistry of the fluorophores, and the maximum photon exposure tolerated by the sample. These limits necessitate trade-offs between imaging speed, spatial resolution, light exposure, and imaging depth. In this work we show how content-aware image restoration based on deep learning extends the range of biological phenomena observable by microscopy. We demonstrate on eight concrete examples how microscopy images can be restored even if 60-fold fewer photons are used during acquisition, how near isotropic resolution can be achieved with up to tenfold under-sampling along the axial direction, and how tubular and granular structures smaller than the diffraction limit can be resolved at 20-times-higher frame rates compared to state-of-the-art methods. All developed image restoration methods are freely available as open source software in Python, FIJI, and KNIME.
Type: | Article |
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Title: | Content-aware image restoration: pushing the limits of fluorescence microscopy |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1038/s41592-018-0216-7 |
Publisher version: | http://doi.org/10.1038/s41592-018-0216-7 |
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. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > Lab for Molecular Cell Bio MRC-UCL |
URI: | https://discovery.ucl.ac.uk/id/eprint/10065245 |
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