Autofocusing in computer microscopy: Selecting the optimal focus algorithm
Autofocusing in computer microscopy: Selecting the optimal focus algorithm
复制标题
DOI：
10.1002/jemt.20118
复制
发表时间：
2004-10-01
影响因子：
2.5
通讯作者：
Nelson, BJ
中科院分区：
文献类型：
--
作者：
Sun, Y;Duthaler, S;Nelson, BJ
自动聚焦是自动化生物和生物医学分析的基本技术，对于大规模常规使用显微镜是必不可少的。本文对18种聚焦算法进行了全面的比较研究，共分析了139，000张显微镜图像。在两种放大倍数（100 X和400 X）下，采用三种观察方法（明场、相位衬度和微分干涉衬度（DIG））使用六个样品。提出了一种排序方法，在此基础上对18种聚焦算法进行了排序。还进行了图像预处理，以广泛揭示聚焦算法的性能和鲁棒性。所提出的准则允许选择不同的显微镜应用的最佳聚焦算法。(C)2004 Wiley-Liss，Inc.
Autofocusing is a fundamental technology for automated biological and biomedical analyses and is indispensable for routine use of microscopes on a large scale. This article presents a comprehensive comparison study of 18 focus algorithms in which a total of 139,000 microscope images were analyzed. Six samples were used with three observation methods (brightfield, phase contrast, and differential interference contrast (DIG)) under two magnifications (100X and 400X). A ranking methodology is proposed, based on which the 18 focus algorithms are ranked. Image preprocessing was also conducted to extensively reveal the performance and robustness of the focus algorithms. The presented guidelines allow for the selection of the optimal focus algorithm for different microscopy applications. (C) 2004 Wiley-Liss, Inc.