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Maximum-likelihood model fitting for quantitative analysis of SMLM data
Quantitative data analysis is important for any single-molecule localization microscopy (SMLM) workflow to extract biological insights from the coordinates of the single fluorophores. However, current approaches are restricted to simple geometries or require identical structures. Here, we present Lo...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834062/ https://www.ncbi.nlm.nih.gov/pubmed/36522500 http://dx.doi.org/10.1038/s41592-022-01676-z |