Browse > Article
http://dx.doi.org/10.3807/COPP.2018.2.2.165

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)
Publication Information
Current Optics and Photonics / v.2, no.2, 2018 , pp. 165-171 More about this Journal
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.
Keywords
Computational imaging; Phase retrieval; Noise reduction; Fourier optics and signal processing;
Citations & Related Records
연도 인용수 순위
  • Reference
1 M. Sicairos and J. Fienup, "Phase retrieval with transverse translation diversity: a nonlinear optimization approach," Opt. Express 16, 7264-7278 (2008).   DOI
2 X. Ou, R. Horstmeyer, C. Yang, and G. Zheng, "Quantitative phase imaging via Fourier ptychographic microscopy," Opt. Lett. 38, 4845-4848 (2013).   DOI
3 Z. Huang, J. Bai, T. Lu, and X. Hou, "Stray light analysis and suppression of panoramic annular lens," Opt. Express 21, 10810-10820 (2013).   DOI
4 S. Thurman and J. Fienup, "Phase retrieval with signal bias," J. Opt. Soc. Am. A 26, 1008-1014 (2009).
5 P. Thibault and M. Sicairos, "Maximum-likelihood refinement for coherent diffractive imaging," New J. Phys. 14, 063004 (2012).   DOI
6 P. Godard, M. Allain, V. Chamard, and J. Rodenburg, “Noise models for low counting rate coherent diffraction imaging,” Opt. Express 20, 25914-25934 (2012)   DOI
7 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).   DOI
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).   DOI
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).   DOI
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).   DOI
11 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).   DOI
12 C. Zuo, J. Sun, and Q. Chen, "Adaptive step-size strategy for noise-robust Fourier ptychographic microscopy," Opt. Express 24, 20724-20744 (2016).   DOI
13 X. Ou, G. Zheng, and C. Yang, "Embedded pupil function recovery for Fourier ptychographic microscopy: erratum," Opt. Express 23, 33027-33027 (2015).   DOI
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).   DOI
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).   DOI
16 G. Zheng, R. Horstmeyer, and C. Yang, "Wide-field, high-resolution Fourier ptychographic microscopy," Nat. Photonics 7, 739-745 (2013).   DOI
17 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).   DOI
18 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).   DOI
19 L. Tian and L. Waller, "3D intensity and phase imaging from light field measurements in an LED array microscope," Optica 2, 104-111 (2015).   DOI
20 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).   DOI
21 R. Horstmeyer, J. Chung, X. Ou, G. Zheng, and C. Yang "Diffraction tomography with Fourier ptychography," Optica 3, 827-835 (2016).   DOI
22 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).   DOI