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Adaptive frequency filtering based on convolutional neural networks in off-axis digital holographic microscopy
Digital holographic microscopy (DHM) as a label-free quantitative imaging tool has been widely used to investigate the morphology of living cells dynamically. In the off-axis DHM, the spatial filtering in the frequency spectrum of the hologram is vital to the quality of the reconstructed images. In...
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| Publicado en: | Biomed Opt Express |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Optical Society of America
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6485015/ https://ncbi.nlm.nih.gov/pubmed/31086696 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.10.001613 |
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