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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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Publicat a:Nat Commun
Autors principals: Huijben, Teun A.P.M., Heydarian, Hamidreza, Auer, Alexander, Schueder, Florian, Jungmann, Ralf, Stallinga, Sjoerd, Rieger, Bernd
Format: Artigo
Idioma:Inglês
Publicat: Nature Publishing Group UK 2021
Matèries:
Accés en línia: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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