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Information-rich localization microscopy through machine learning

Recent years have witnessed the development of single-molecule localization microscopy as a generic tool for sampling diverse biologically relevant information at the super-resolution level. While current approaches often rely on the target-specific alteration of the point spread function to encode...

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Detalles Bibliográficos
Autores principales: Kim, Taehwan, Moon, Seonah, Xu, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491467/
https://www.ncbi.nlm.nih.gov/pubmed/31040287
http://dx.doi.org/10.1038/s41467-019-10036-z