Resolution limit of image analysis algorithms
Resolution limit of image analysis algorithms
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DOI：
10.1038/s41467-019-08689-x
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发表时间：
2019-02-15
影响因子：
16.6
通讯作者：
Ober, Raimund J.
中科院分区：
文献类型：
--
作者：
Cohen, Edward A. K.;Abraham, Anish, V;Ober, Raimund J.
成像系统的分辨率是一个关键属性，尽管光学成像方法取得了许多进展，但仍然很难定义和应用。瑞利和阿贝的分辨率标准是为肉眼观察而制定的。然而，现代成像数据通常是通过高灵敏度相机获取的，通常需要复杂的图像处理算法才能进行分析。目前，没有可用于评估这种图像处理算法的分辨率的方法，这些图像处理算法现在是成像数据分析的中心，特别是基于位置的成像数据。利用空间统计的方法，我们提出了一个新的算法分辨率极限来评估基于位置的图像处理算法的分辨率能力。我们展示了算法分辨率不足如何影响基于位置的图像分析的结果，并提出了一种在空间位置模式分析中解释算法分辨率的方法。
The resolution of an imaging system is a key property that, despite many advances in optical imaging methods, remains difficult to define and apply. Rayleigh's and Abbe's resolution criteria were developed for observations with the human eye. However, modern imaging data is typically acquired on highly sensitive cameras and often requires complex image processing algorithms to analyze. Currently, no approaches are available for evaluating the resolving capability of such image processing algorithms that are now central to the analysis of imaging data, particularly location-based imaging data. Using methods of spatial statistics, we develop a novel algorithmic resolution limit to evaluate the resolving capabilities of location-based image processing algorithms. We show how insufficient algorithmic resolution can impact the outcome of location-based image analysis and present an approach to account for algorithmic resolution in the analysis of spatial location patterns.