北京航空航天大学学报 ›› 2019, Vol. 45 ›› Issue (8): 1552-1559.doi: 10.13700/j.bh.1001-5965.2018.0689

• 多相流测量 • 上一篇    下一篇

基于波动光学的显微光场成像点扩散函数

顾梦涛1, 宋祥磊1, 张彪1, 唐志永2, 许传龙1   

  1. 1. 东南大学 能源与环境学院 能源热转换及其过程测控教育部重点实验室, 南京 210096;
    2. 中国科学院上海高等研究院 低碳转化科学与工程重点实验室, 上海 201210
  • 收稿日期:2018-11-23 出版日期:2019-08-20 发布日期:2019-09-06
  • 通讯作者: 许传龙 E-mail:chuanlongxu@seu.edu.cn
  • 作者简介:顾梦涛 男,硕士研究生。主要研究方向:微纳多相流的特性与测试;许传龙 男,博士,教授。主要研究方向:多相流测试、燃烧诊断技术。
  • 基金资助:
    国家自然科学基金(51676044);江苏省自然科学基金(BK20150023);中国科学院低碳转化科学与工程重点实验室开放课题(KLLCCSE-201703,SARI,CAS)

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

GU Mengtao1, SONG Xianglei1, ZHANG Biao1, TANG Zhiyong2, XU Chuanlong1   

  1. 1. Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China;
    2. Key Laboratory of Low-Coal Conversion Science & Engineering, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China
  • Received:2018-11-23 Online:2019-08-20 Published:2019-09-06
  • Supported by:
    National Natural Science Foundation of China (51676044); Natural Science Foundation of Jiangsu Province (BK20150023); Supported by CAS Key Laboratory of Low-Coal Conversion Science & Engineering (KLLCCSE-201703,SARI,CAS)

摘要: 光场Micro-PIV通过Lucy-Richardson(L-R)算法对光场图片进行反卷积重建,从而获得示踪粒子的三维坐标信息,准确的点扩散函数(PSF)是L-R算法完成重建的前提,而现有PSF模型不适用于光场Micro-PIV系统。为此,建立了基于波动光学的显微光场成像PSF模型,进行了数值仿真,获得了模拟PSF图像,并通过结构相似性算法计算了模拟PSF图像与实际PSF图像的相似度,进一步利用L-R算法结合PSF对单个粒子和不同浓度下示踪粒子的流场进行了三维重建。结果表明:模拟PSF图像与实际PSF图像相似度大于0.94,表明PSF模型具有较高的准确性;单个粒子的三维坐标误差在一个像素以内,并可准确地获得不同浓度下示踪粒子的三维坐标信息,进一步验证了模型的准确性,为光场Micro-PIV实现瞬时三维速度场测量奠定了基础。

关键词: 显微成像, 反卷积, 点扩散函数(PSF), 光场成像, 流场

Abstract: 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.

Key words: microscopic imaging, deconvolution, point spread function (PSF), light field imaging, flow field

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