Volume 45 Issue 8
Aug.  2019
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GU Mengtao, SONG Xianglei, ZHANG Biao, et al. Point spread function of microscopic light field imaging based on wave optics[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(8): 1552-1559. doi: 10.13700/j.bh.1001-5965.2018.0689(in Chinese)
Citation: GU Mengtao, SONG Xianglei, ZHANG Biao, et al. Point spread function of microscopic light field imaging based on wave optics[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(8): 1552-1559. doi: 10.13700/j.bh.1001-5965.2018.0689(in Chinese)

Point spread function of microscopic light field imaging based on wave optics

doi: 10.13700/j.bh.1001-5965.2018.0689
Funds:

National Natural Science Foundation of China 51676044

Natural Science Foundation of Jiangsu Province BK20150023

CAS Key Laboratory of Low-Coal Conversion Science & Engineering KLLCCSE-201703

CAS Key Laboratory of Low-Coal Conversion Science & Engineering SARI

CAS Key Laboratory of Low-Coal Conversion Science & Engineering CAS

More Information
  • Corresponding author: XU Chuanlong, E-mail: chuanlongxu@seu.edu.cn
  • Received Date: 23 Nov 2018
  • Accepted Date: 11 Jan 2019
  • Publish Date: 20 Aug 2019
  • The light field Micro-PIV deconvolutes the light field image by Lucy-Richardson (L-R) algorithm to obtain the three-dimensional coordinate information of the tracer particle. The accurate point spread function (PSF) is the premise of the L-R algorithm to complete the reconstruction, and the existing PSF model is not suitable for the light field Micro-PIV system. In this paper, the PSF model of a microscopic light field imaging system based on wave optics is established. Numerical simulation is carried out to calculate the PSF. The similarity between the calculated and experimental PSF images is determined by the structural similarity algorithm. Combining the theoretically calculated PSF, the L-R algorithm is used to reconstruct the single particle and the flow field of tracer particles at different concentrations. Results show that the similarity between simulated and actual PSF is more than 0.94, indicating that the PSF model has high accuracy. The three-dimensional coordinate error of a single particle is within one pixel, and the three-dimensional coordinate information of the tracer particles at different concentrations can be accurately obtained, which further verifies the accuracy of the PSF model and lays the foundation for light field Micro-PIV to realize instantaneous three-dimensional velocity field measurement.

     

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