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Accurate phase retrieval of complex 3D point spread functions with deep residual neural networks
Phase retrieval, i.e., the reconstruction of phase information from intensity information, is a central problem in many optical systems. Imaging the emission from a point source such as a single molecule is one example. Here, we demonstrate that a deep residual neural net is able to quickly and accu...
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| Publicado no: | Appl Phys Lett |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
AIP Publishing LLC
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7043838/ https://ncbi.nlm.nih.gov/pubmed/32127719 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1063/1.5125252 |
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