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Machine-learning based spectral classification for spectroscopic single-molecule localization microscopy
Spectroscopic single-molecule localization microscopy (sSMLM) simultaneously captures the spatial locations and emission spectra of single molecular emissions and enables simultaneous multi-color super-resolution imaging. Existing sSMLM relies on extracting spectral signatures, such as weighted spec...
Gardado en:
| Publicado en: | Opt Lett |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7419077/ https://ncbi.nlm.nih.gov/pubmed/31774799 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/OL.44.005864 |
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