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Nanoscale Pattern Extraction from Relative Positions of Sparse 3D Localizations
[Image: see text] Inferring the organization of fluorescently labeled nanosized structures from single molecule localization microscopy (SMLM) data, typically obscured by stochastic noise and background, remains challenging. To overcome this, we developed a method to extract high-resolution ordered...
Autores principales: | Curd, Alistair P., Leng, Joanna, Hughes, Ruth E., Cleasby, Alexa J., Rogers, Brendan, Trinh, Chi H., Baird, Michelle A., Takagi, Yasuharu, Tiede, Christian, Sieben, Christian, Manley, Suliana, Schlichthaerle, Thomas, Jungmann, Ralf, Ries, Jonas, Shroff, Hari, Peckham, Michelle |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883386/ https://www.ncbi.nlm.nih.gov/pubmed/33253583 http://dx.doi.org/10.1021/acs.nanolett.0c03332 |
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