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Deep learning to predict microscope images
A species of neural network first described in 2015 can be trained to translate between images of the same field of view acquired by different modalities. Trained networks can use information inherent in grayscale images of cells to predict fluorescent signals.
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| Publicat a: | Nat Methods |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6322918/ https://ncbi.nlm.nih.gov/pubmed/30377365 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41592-018-0194-9 |
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