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High-resolution limited-angle phase tomography of dense layered objects using deep neural networks
We present a machine learning-based method for tomographic reconstruction of dense layered objects, with range of projection angles limited to [Formula: see text]. Whereas previous approaches to phase tomography generally require 2 steps, first to retrieve phase projections from intensity projection...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
National Academy of Sciences
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778227/ https://www.ncbi.nlm.nih.gov/pubmed/31527279 http://dx.doi.org/10.1073/pnas.1821378116 |