王丹萍, 谢梦圆, 李志斌, 朱文国, 余健辉, 陈哲, 张军. 无透镜显微成像的重构算法研究[J]. 应用光学, 2019, 40(4): 589-595. DOI: 10.5768/JAO201940.0402002
引用本文: 王丹萍, 谢梦圆, 李志斌, 朱文国, 余健辉, 陈哲, 张军. 无透镜显微成像的重构算法研究[J]. 应用光学, 2019, 40(4): 589-595. DOI: 10.5768/JAO201940.0402002
WANG Danping, XIE Mengyuan, LI Zhibin, ZHU Wenguo, YU Jianhui, CHEN Zhe, ZHANG Jun. Research on reconstruction algorithm of lensless microscopic imaging[J]. Journal of Applied Optics, 2019, 40(4): 589-595. DOI: 10.5768/JAO201940.0402002
Citation: WANG Danping, XIE Mengyuan, LI Zhibin, ZHU Wenguo, YU Jianhui, CHEN Zhe, ZHANG Jun. Research on reconstruction algorithm of lensless microscopic imaging[J]. Journal of Applied Optics, 2019, 40(4): 589-595. DOI: 10.5768/JAO201940.0402002

无透镜显微成像的重构算法研究

Research on reconstruction algorithm of lensless microscopic imaging

  • 摘要: 针对单幅图像进行了无透镜显微成像的重构算法研究,介绍了无透镜显微成像系统实验装置和ASM(angle spectrum method)、改编后的L-R(Lucy-Richardson)两种重构算法。对比两种算法重构后的USAF分辨率板图像的分辨率,利用瑞利判据得出ASM获得的振幅图分辨率最高(即3.10 μm),且计算用时最少(即0.9 s),证明了ASM为最佳的单幅无透镜显微重构算法。其次,利用无透镜显微成像系统结合ASM重构的方法,进行细胞成像实验。该无透镜成像视场为5×显微镜的4.4倍,且分辨率介于5×及10×光学显微镜之间,统计学优势明显,在生物医学领域具有广阔的应用前景。

     

    Abstract: The reconstruction algorithm of single-frame lensless microscopic imaging was investigated. The experimental setup of the lensless microscopic imaging system and the two reconstruction algorithms of L-R(Lucy-Richardson) and ASM (angle spectrum method) were introduced. Comparing the resolution of the USAF resolution plate image reconstructed by the two algorithms, according to the Rayleigh criterion, the amplitude image resolution acquired by the SSM is up to 3.10 μm and the calculation time is the least (0.9 s), which proves ASM is the best reconstruction algorithm of single-frame lensless microscope imaging. In addition, the cell imaging experiments were performed using a lensless microscopic imaging system combined with ASM for image reconstruction. Results show that the lensless imaging field of view is 4.4 times than that of a 5× microscope, and its resolution is between 5× and 10× optical microscopes. The statistical advantage is obvious, and it has broad application prospects in the biomedical field.

     

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