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Holo-UNet: hologram-to-hologram neural network restoration for high fidelity low light quantitative phase imaging of live cells
Intensity shot noise in digital holograms distorts the quality of the phase images after phase retrieval, limiting the usefulness of quantitative phase microscopy (QPM) systems in long term live cell imaging. In this paper, we devise a hologram-to-hologram neural network, Holo-UNet, that restores hi...
Tallennettuna:
| Julkaisussa: | Biomed Opt Express |
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| Päätekijät: | , , , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Optical Society of America
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7587275/ https://ncbi.nlm.nih.gov/pubmed/33149965 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.395302 |
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