色阶
共焦
互相关
共焦显微镜
信号(编程语言)
色差
光学
标准差
相关性
计算机科学
波长
显微镜
算法
模式识别(心理学)
人工智能
数学
物理
统计
几何学
程序设计语言
作者
Wenhao Zhao,K. Yue,Yongkang Liang,Wenping Guo,Min Xia
标识
DOI:10.1088/1361-6501/ad9cb1
摘要
Abstract In this paper, we propose a peak extraction algorithm based on generalized cross-correlation method in chromatic confocal microscopy. In this approach, a high level of localization precision is achieved by utilizing the generalized cross-correlation function between the chromatic confocal signal and the template signal. Compared to the algorithms proposed in recent years, the proposed algorithm is found to have lower localization bias and standard deviation.Both the simulation and the experimental results confirm the significant accuracy advantage of the proposed algorithm.
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