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Detecting structural heterogeneity in single-molecule localization microscopy data
Particle fusion for single molecule localization microscopy improves signal-to-noise ratio and overcomes underlabeling, but ignores structural heterogeneity or conformational variability. We present a-priori knowledge-free unsupervised classification of structurally different particles employing the...
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| Publié dans: | Nat Commun |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Publishing Group UK
2021
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8213809/ https://ncbi.nlm.nih.gov/pubmed/34145284 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-021-24106-8 |
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