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Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis
Chemical Reviews ( IF 51.4 ) Pub Date : 2017-04-17 00:00:00 , DOI: 10.1021/acs.chemrev.6b00729
Antony Lee , Konstantinos Tsekouras , Christopher Calderon 1 , Carlos Bustamante , Steve Pressé 2
Affiliation  

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.

中文翻译:

解开千字图:超分辨率数据分析简介

超分辨率显微镜可以直接洞察在小于光的衍射极限的长度尺度上发生的基本生物过程。如此规模的数据分析使统计和机器学习方法成为主流。在这里,我们对数据分析方法进行了概述,从超分辨率分析以及更广泛的成像数据分析所依据的基本统计技术的概述开始。随后,我们将超分辨率数据的分析分解为四个问题:定位问题、计数问题、链接问题以及我们所说的解释问题。
更新日期:2017-04-17
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