Affiliation:
1. Shanghai Jiao Tong University (SJTU)
2. Huazhong University of Science and Technology (HUST)
3. University of Huddersfield
4. Shenzhen-HUST Research Institute
Abstract
We present a centroid algorithm with asymmetry-robust error compensation for the peak position localization of asymmetrical axial response signals in confocal microscopy. Compared with the state-of-the-art algorithms, which are usually developed for symmetrical signals, our asymmetry robust centroid algorithm is found to have much smaller localization bias and higher precision for an asymmetrical confocal signal in numerical simulations and experiments.
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Natural Science Foundation for Distinguished Young Scholars of Hubei Province of China
Shenzhen Technical Project
Subject
Atomic and Molecular Physics, and Optics
Cited by
4 articles.
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