Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning
Image denoising or artefact removal using deep learning is possible in the availability of supervised training dataset acquired in real experiments or synthesized using known noise models. Neither of the conditions can be fulfilled for nanoscopy (super-resolution optical microscopy) images that are...
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Veröffentlicht in: | Biomedical optics express 2021-01, Vol.12 (1), p.191-210 |
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