Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
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New York: Nature Publishing Group US
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Language
English
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New York: Nature Publishing Group US
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We demonstrate that a deep neural network can be trained to virtually refocus a two-dimensional fluorescence image onto user-defined three-dimensional (3D) surfaces within the sample. Using this method, termed Deep-Z, we imaged the neuronal activity of a
Caenorhabditis elegans
worm in 3D using a time sequence of fluorescence images acquired a...
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Full title
Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning
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TN_cdi_proquest_miscellaneous_2312273432
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2312273432
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ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/s41592-019-0622-5
