Chinese Optics Letters, Volume. 21, Issue 4, 041204(2023)
Phase-unwrapping algorithm combined with wavelet transform and Hilbert transform in self-mixing interference for individual microscale particle detection
Fig. 1. Simulated signal from a 5 µm diameter particle. (a) Temporal signal; (b) phase profile.
Fig. 2. Chart diagram of CWT-HT signal processing algorithm for particle-induced SMI signal.
Fig. 4. Signal burst of 2 µm PS particle. (a) Raw SMI signal (black), denoised SMI signals by BPF (red) and CWT (blue); (b) scalogram of CWT.
Fig. 5. Phase profiles of the 2 µm PS particle SMI signal by BPF (red) and CWT (blue).
Fig. 6. Signal bursts of the PS particles in different diameters after CWT denoising. (a) 500 nm; (b) 3 µm; (c) 4 µm; (d) 5 µm.
Fig. 7. Phase curve as a function of the particle diameter. The blue circle marks represent the mean values and the standard deviations of the measured value of phase
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Yu Zhao, Jiawei Li, Menglei Zhang, Yangyang Zhao, Jianglin Zou, Tao Chen, "Phase-unwrapping algorithm combined with wavelet transform and Hilbert transform in self-mixing interference for individual microscale particle detection," Chin. Opt. Lett. 21, 041204 (2023)
Category: Instrumentation, Measurement, and Optical Sensing
Received: Nov. 24, 2022
Accepted: Jan. 6, 2023
Published Online: Apr. 10, 2023
The Author Email: Yu Zhao (zhaoyuile@bjut.edu.cn), Tao Chen (chentao@bjut.edu.cn)