Evaluation and development of deep neural networks for image super-resolution in optical microscopy
Evaluation and development of deep neural networks for image super-resolution in optical microscopy
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Author / Creator
Qiao, Chang , Li, Di , Guo, Yuting , Liu, Chong , Jiang, Tao , Dai, Qionghai and Li, Dong
Publisher
New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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Contents
Deep neural networks have enabled astonishing transformations from low-resolution (LR) to super-resolved images. However, whether, and under what imaging conditions, such deep-learning models outperform super-resolution (SR) microscopy is poorly explored. Here, using multimodality structured illumination microscopy (SIM), we first provide an extens...
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Full title
Evaluation and development of deep neural networks for image super-resolution in optical microscopy
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Record Identifier
TN_cdi_proquest_miscellaneous_2480402975
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2480402975
Other Identifiers
ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/s41592-020-01048-5
