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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...

詳細記述

保存先:
書誌詳細
出版年:Nat Commun
主要な著者: Kim, Taehwan, Moon, Seonah, Xu, Ke
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group UK 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6491467/
https://ncbi.nlm.nih.gov/pubmed/31040287
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-10036-z
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