Self-supervised denoising of dynamic fluorescence images via temporal gradient-empowered deep learning
Abstract Fluorescence microscopy has become one of the most widely employed in vivo imaging modalities, enabling the discovery of new biopathological mechanisms. However, the application of fluorescence imaging is often hindered by signal-to-noise ratio issues owing to inherent noise arising from va...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-05-01
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| Series: | PhotoniX |
| Online Access: | https://doi.org/10.1186/s43074-025-00173-8 |
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