计算机科学
光学(聚焦)
人工智能
像素
光学
计算机视觉
灵敏度(控制系统)
色差
物理
滤波器(信号处理)
电子工程
工程类
作者
Xuyang Zhou,Pengbo Xiong,Dazhao Chi,Wen Xiu,Yu Ji,Yutong Li,Shutian Liu,Dong Jia,Zhengjun Liu
出处
期刊:Optics Letters
[Optica Publishing Group]
日期:2022-07-20
卷期号:47 (15): 3752-3752
被引量:6
摘要
Focusing objects accurately over short time scales is an essential and nontrivial task for a variety of microscopy applications. In this Letter, an autofocusing algorithm using pixel difference with the Tanimoto coefficient (PDTC) is described to predict the focus. Our method can robustly distinguish differences in clarity among datasets. The generated auto-focusing curves have extremely high sensitivity. A dataset of a defocused stack acquired by an Olympus microscope demonstrates the feasibility of our technique. This work can be applied in full-color microscopic imaging systems and is also valid for single-color imaging.
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