Adaptive predictive scanning method based on a high-precision automatic microscopy system

被引:2
|
作者
Hu, Junjie [1 ]
Zhong, Bowen [1 ]
Jin, Ziqi [1 ]
Wang, Zhenhua [1 ]
Sun, Lining [1 ]
机构
[1] Soochow Univ, Coll Mech & Elect Engn, Suzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
TUBERCULOSIS; FLUORESCENCE; SEARCH;
D O I
10.1364/AO.58.007305
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Predicting the focal plane is an effective method to increase the scanning speed of an automatic microscopy system. However, the image easily defocuses when using traditional predictive scanning methods. In this paper, we introduce an adaptive predictive scanning method (APSM) that greatly improves the accuracy of predictive scanning. Instead of using a fixed planar model to predict the focal plane position, APSM updates the predicted focal plane in real time based on the focal position of the reference point during the scanning process, thus predicting the focal position of each local view more accurately. Using the APSM, the average image defocus value is 0.39 mu m, while conventional predictive scanning methods reach 1.05 mu m. APSM greatly improves focal accuracy and can be applied to a high-precision automatic microscopy system. (C) 2019 Optical Society of America
引用
收藏
页码:7305 / 7310
页数:6
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