Enhancing image resolution of confocal fluorescence microscopy with deep learning
Abstract Super-resolution optical imaging is crucial to the study of cellular processes. Current super-resolution fluorescence microscopy is restricted by the need of special fluorophores or sophisticated optical systems, or long acquisition and computational times. In this work, we present a deep-l...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2023-01-01
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| Series: | PhotoniX |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s43074-022-00077-x |