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Computational cannula microscopy of neurons using neural networks
Computational cannula microscopy is a minimally invasive imaging technique that can enable high-resolution imaging deep inside tissue. Here, we apply artificial neural networks to enable real-time, power-efficient image reconstructions that are more efficiently scalable to larger fields of view. Spe...
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| 出版年: | Opt Lett |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7749448/ https://ncbi.nlm.nih.gov/pubmed/32236081 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/OL.387496 |
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