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

被引：0
|
作者：
Gu M. [1 ]
Song X. [1 ]
Zhang B. [1 ]
Tang Z. [2 ]
Xu C. [1 ]
机构：
[1] Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing
[2] Key Laboratory of Low-Coal Conversion Science & Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2019年 / 45卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Deconvolution; Flow field; Light field imaging; Microscopic imaging; Point spread function (PSF);
D O I：
10.13700/j.bh.1001-5965.2018.0689
中图分类号：
学科分类号：
摘要：
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. © 2019, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码：1552 / 1559
页数：7
相关论文
共 15 条
  • [1] Ge Y., Jiang W.T., The research progress and application of the micro-channel heat exchanger, Chemical Industry and Engineering Progress, 35, pp. 10-15, (2016)
  • [2] Loussif N., Orfi J., Simultaneously developing laminar flow in an isothermal micro-tube with slip flow models, Heat & Mass Transfer, 50, 4, pp. 573-582, (2014)
  • [3] Prakash S., Microfluidic Devices in Nanotechnology, (2010)
  • [4] Raffel M., Willert C.E., Scarano F., Et al., Micro-PIV, Particle Image Velocimetry, pp. 241-258, (2018)
  • [5] Lindken R., Westerweel J., Wieneke B., Stereoscopic micro particle image velocimetry, Experiments in Fluids, 41, 2, pp. 161-171, (2006)
  • [6] Shinohara K., Sugii Y., Jeong J.H., Et al., Development of a three-dimensional scanning microparticle image velocimetry system using a piezo actuator, Review of Scientific Instruments, 76, 10, (2005)
  • [7] Levoy M., Ren N., Adams A., Et al., Light field microscopy, ACM SIGGRAPH 2006, pp. 924-934, (2006)
  • [8] Lv H., Gu K., Zhang Y., Et al., Light field depth estimation exploiting linear structure in EPI, IEEE International Conference on Multimedia & Expo Workshops, pp. 1-6, (2015)
  • [9] Wang Z., Bovik A.C., Lu L., Why is image quality assessment so difficult?, IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 3313-3316, (2011)
  • [10] Attendu J.M., Ross A., Time domain nearfield acoustical holography with three-dimensional linear deconvolution, Journal of the Acoustical Society of America, 143, 3, pp. 1672-1683, (2018)
12