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Deep-learning-based whole-brain imaging at single-neuron resolution
Obtaining fine structures of neurons is necessary for understanding brain function. Simple and effective methods for large-scale 3D imaging at optical resolution are still lacking. Here, we proposed a deep-learning-based fluorescence micro-optical sectioning tomography (DL-fMOST) method for high-thr...
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| Pubblicato in: | Biomed Opt Express |
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| Autori principali: | , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Optical Society of America
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7510917/ https://ncbi.nlm.nih.gov/pubmed/33014552 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.393081 |
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