Current Optics and Photonics

Optical Society of Korea (한국광학회)
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Background-noise Reduction for Fourier Ptychographic Microscopy Based on an Improved Thresholding Method

  • Hou, Lexin (Shanghai Engineering Center of Ultra-precision Optical Manufacturing, Department of Optical Science and Engineering, Fudan University) ;
  • Wang, Hexin (CRT Lab, China Innovation and R&D Center, Carl Zeiss (Shanghai) Co., Ltd., Zeiss Group) ;
  • Wang, Junhua (Shanghai Engineering Center of Ultra-precision Optical Manufacturing, Department of Optical Science and Engineering, Fudan University) ;
  • Xu, Min (Shanghai Engineering Center of Ultra-precision Optical Manufacturing, Department of Optical Science and Engineering, Fudan University)
  • Received : 2017.12.12
  • Accepted : 2018.02.12
  • Published : 2018.04.25
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Abstract

Fourier ptychographic microscopy (FPM) is a recently proposed computational imaging method that achieves both high resolution (HR) and wide field of view. In the FPM framework, a series of low-resolution (LR) images at different illumination angles is used for high-resolution image reconstruction. On the basis of previous research, image noise can significantly degrade the FPM reconstruction result. Since the captured LR images contain a lot of dark-field images with low signal-to-noise ratio, it is very important to apply a noise-reduction process to the FPM raw dataset. However, the thresholding method commonly used for the FPM data preprocessing cannot separate signals from background noise effectively. In this work, we propose an improved thresholding method that provides a reliable background-noise threshold for noise reduction. Experimental results show that the proposed method is more efficient and robust than the conventional thresholding method.

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References

  1. G. Zheng, R. Horstmeyer, and C. Yang, "Wide-field, high-resolution Fourier ptychographic microscopy," Nat. Photonics 7, 739-745 (2013). https://doi.org/10.1038/nphoton.2013.187
  2. A. Greenbaum, W. Luo, T. W. Su, Z. Gorocs, L. Xue, S. O. Isikman, A. F. Coskun, O. Mudanyali, and A. Ozcan, "Imaging without lenses: achievements and remaining challenges of wide-field on-chip microscopy," Nat. Methods 9, 889-895 (2012). https://doi.org/10.1038/nmeth.2114
  3. L. Tian and L. Waller, "3D intensity and phase imaging from light field measurements in an LED array microscope," Optica 2, 104-111 (2015). https://doi.org/10.1364/OPTICA.2.000104
  4. S. Dong, R. Shiradkar, P. Nanda, and G. Zheng, "Spectralmultiplexing and coherent-state decomposition in Fourier ptychographic imaging," Biomed. Opt. Express 5, 1757-1767 (2014). https://doi.org/10.1364/BOE.5.001757
  5. L. Tian, X. Li, K. Ramchandran, and L. Waller, "Multiplexed coded illumination for Fourier ptychography with an LED array microscope," Biomed. Opt. Express 5, 2376-2389 (2014). https://doi.org/10.1364/BOE.5.002376
  6. M. Wang, Y. Zhang, Q. Chen, J. Sun, Y. Fan, and C. Zuo "A color-corrected strategy for information multiplexed Fourier ptychographic imaging," Opt. Commun. 405, 406-411 (2017). https://doi.org/10.1016/j.optcom.2017.08.066
  7. R. Horstmeyer, J. Chung, X. Ou, G. Zheng, and C. Yang "Diffraction tomography with Fourier ptychography," Optica 3, 827-835 (2016). https://doi.org/10.1364/OPTICA.3.000827
  8. J. Chung, J. Kim, X. Ou, R. Horstmeyer, and C. Yang, “Wide field-of-view fluorescence image deconvolution with aberration-estimation from Fourier ptychography.” Biomed. Opt. Express 7, 352-368 (2016). https://doi.org/10.1364/BOE.7.000352
  9. S. Dong, P. Nanda, R. Shiradkar, K. Guo, and G. Zheng, “High-resolution fluorescence imaging via pattern-illuminated Fourier ptychography.” Opt. Express 22, 20856-20870 (2014). https://doi.org/10.1364/OE.22.020856
  10. R. Horstmeyer, X. Ou, G. Zheng, P. Willems, and C. Yang “Digital pathology with Fourier ptychography,” Comput Med. Imaging Graph. 42, 38-43 (2015). https://doi.org/10.1016/j.compmedimag.2014.11.005
  11. L. Tian, Z. Liu, L.-H. Yeh, M. Chen, J. Zhong, and L. Waller “Computational illumination for high-speed in vitro Fourier ptychographic microscopy,” Optica 2, 904-911 (2015). https://doi.org/10.1364/OPTICA.2.000904
  12. L.-H. Yeh, J. Dong, J. Zhong, L. Tian, M. Chen, G. Tang, M. Soltanolkotabi, and L. Waller, "Experimental robustness of Fourier ptychography phase retrieval algorithms." Opt. Express 23, 33214-33240 (2015). https://doi.org/10.1364/OE.23.033214
  13. X. Ou, G. Zheng, and C. Yang, "Embedded pupil function recovery for Fourier ptychographic microscopy: erratum," Opt. Express 23, 33027-33027 (2015). https://doi.org/10.1364/OE.23.033027
  14. L. Bian, J. Suo, G. Zheng, K. Guo, F. Chen, and Q. Dai, "Fourier ptychographic reconstruction using Wirtinger flow optimization," Opt. Express 23, 4856-4866 (2015). https://doi.org/10.1364/OE.23.004856
  15. L. Bian, J. Suo, J. Chung, X. Ou, C. Yang, F. Chen, and Q. Dai, "Fourier ptychographic reconstruction using Poisson maximum likelihood and truncated Wirtinger gradient." Sci. Rep. 6, 27384 (2016). https://doi.org/10.1038/srep27384
  16. C. Zuo, J. Sun, and Q. Chen, "Adaptive step-size strategy for noise-robust Fourier ptychographic microscopy," Opt. Express 24, 20724-20744 (2016). https://doi.org/10.1364/OE.24.020724
  17. M. Sicairos and J. Fienup, "Phase retrieval with transverse translation diversity: a nonlinear optimization approach," Opt. Express 16, 7264-7278 (2008). https://doi.org/10.1364/OE.16.007264
  18. X. Ou, R. Horstmeyer, C. Yang, and G. Zheng, "Quantitative phase imaging via Fourier ptychographic microscopy," Opt. Lett. 38, 4845-4848 (2013). https://doi.org/10.1364/OL.38.004845
  19. Z. Huang, J. Bai, T. Lu, and X. Hou, "Stray light analysis and suppression of panoramic annular lens," Opt. Express 21, 10810-10820 (2013). https://doi.org/10.1364/OE.21.010810
  20. S. Thurman and J. Fienup, "Phase retrieval with signal bias," J. Opt. Soc. Am. A 26, 1008-1014 (2009).
  21. P. Thibault and M. Sicairos, "Maximum-likelihood refinement for coherent diffractive imaging," New J. Phys. 14, 063004 (2012). https://doi.org/10.1088/1367-2630/14/6/063004
  22. P. Godard, M. Allain, V. Chamard, and J. Rodenburg, “Noise models for low counting rate coherent diffraction imaging,” Opt. Express 20, 25914-25934 (2012) https://doi.org/10.1364/OE.20.025914