Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis.
Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis.
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DOI：
10.1021/acs.chemrev.6b00729
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发表时间：
2017-06-14
期刊：
影响因子：
62.1
通讯作者：
Pressé S
中科院分区：
文献类型：
--
作者：
Lee A;Tsekouras K;Calderon C;Bustamante C;Pressé S
超级分辨率的直接洞察力对基本的生物学过程小于Light的衍射限制，这使数据分析在此处提供了统计和机器学习方法。超级分辨率数据分为四个问题：本地化问题，计数问题，链接问题以及我们称之为解释问题的内容。
Super-resolution microscopy provides direct insight into fundamental biological processes occurring at length scales smaller than light’s diffraction limit. The analysis of data at such scales has brought statistical and machine learning methods into the mainstream. Here we provide a survey of data analysis methods starting from an overview of basic statistical techniques underlying the analysis of super-resolution and, more broadly, imaging data. We subsequently break down the analysis of super-resolution data into four problems: the localization problem, the counting problem, the linking problem, and what we’ve termed the interpretation problem.