Retinex-qDPC: Automatic background-rectified quantitative differential phase contrast imaging

被引:3
作者
Zhang, Shuhe [1 ,2 ]
Peng, Tao [1 ]
Ke, Zeyu [1 ]
Yang, Han [1 ]
Berendschot, Tos T. J. M. [2 ]
Zhou, Jinhua [1 ,3 ]
机构
[1] Anhui Med Univ, Sch Biomed Engn, Hefei 230032, Peoples R China
[2] Maastricht Univ, Univ Eye Clin Maastricht, Med Ctr, POB 5800, NL-6202 AZ Maastricht, Netherlands
[3] Anhui Med Univ, Anhui Prov Inst Translat Med, Hefei 230032, Peoples R China
关键词
Retinex theory; Quantitative phase retrieval; Differential phase contrast imaging; Background correction; Deconvolution; CODED LED MICROSCOPY; HIGH-RESOLUTION; REMOVAL; MODEL;
D O I
10.1016/j.cmpb.2022.107327
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Background and objective: The quality of quantitative differential phase contrast reconstruction (qDPC) can be severely degenerated by the mismatch of the background of two oblique illuminated images, yield-ing problematic phase recovery results. These background mismatches may result from illumination pat-terns, inhomogeneous media distribution, or other defocusing layers. In previous reports, the background is manually calibrated which is time-consuming, and unstable, since new calibrations are needed if any modification to the optical system was made. It is also impossible to calibrate the background from the defocusing layers, or for high dynamic observation as the background changes over time. The background mismatch reduces the experimental robustness of qDPC and largely limits its applications. To tackle the mismatch of background and increases the experimental robustness, we propose the Retinex-qDPC.Methods: In Retinex-qDPC, we replace the data fidelity term of the previous cost function for qDPC inverse problem, by the images' edge features yielding L2-Retinex-qDPC and L1-Retinex-qDPC for high background-robustness qDPC reconstruction. The split Bregman method is used to solve the L1-Retinex DPC. We compare both Retinex-qDPC models against state-of-the-art DPC reconstruction algorithms in-cluding total-variation regularized qDPC, and isotropic-qDPC using both simulated and experimental data.Results: Retinex qDPC can significantly improve the phase recovery quality by suppressing the impact of mismatch background. Within, the L1-Retinex-qDPC is better than L2-Retinex and other state-of-the-art qDPC algorithms.Conclusions: The Retinex-qDPC increases the experimental robustness against background illumination without any modification of the optical system, which will benefit all qDPC applications.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
引用
收藏
页数:12
相关论文
共 38 条
  • [1] Aggarwal M, 2001, EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL I, PROCEEDINGS, P472, DOI 10.1109/ICCV.2001.937554
  • [2] [Anonymous], 2010, THEORY FOUND NUMER M
  • [3] Maximum a posteriori estimators as a limit of Bayes estimators
    Bassett, Robert
    Deride, Julio
    [J]. MATHEMATICAL PROGRAMMING, 2019, 174 (1-2) : 129 - 144
  • [4] High-order total variation-based image restoration
    Chan, T
    Marquina, A
    Mulet, P
    [J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2000, 22 (02) : 503 - 516
  • [5] Isotropic differential phase contrast microscopy for quantitative phase bio-imaging
    Chen, Hsi-Hsun
    Lin, Yu-Zi
    Luo, Yuan
    [J]. JOURNAL OF BIOPHOTONICS, 2018, 11 (08)
  • [6] Quantitative differential phase contrast (DPC) microscopy with computational aberration correction
    Chen, Michael
    Phillips, Zachary F.
    Waller, Laura
    [J]. OPTICS EXPRESS, 2018, 26 (25): : 32888 - 32899
  • [7] 3D differential phase contrast microscopy
    Chen, Michael
    Tian, Lei
    Waller, Laura
    [J]. BIOMEDICAL OPTICS EXPRESS, 2016, 7 (10): : 3940 - 3950
  • [8] Single-shot isotropic quantitative phase microscopy based on color-multiplexed differential phase contrast
    Fan, Yao
    Sun, Jiasong
    Chen, Qian
    Pan, Xiangpeng
    Trusiak, Maciej
    Zuo, Chao
    [J]. APL PHOTONICS, 2019, 4 (12)
  • [9] Optimal illumination scheme for isotropic quantitative differential phase contrast microscopy
    Fan, Yao
    Sun, Jiasong
    Chen, Qian
    Pan, Xiangpeng
    Tian, Lei
    Zuo, Chao
    [J]. PHOTONICS RESEARCH, 2019, 7 (08) : 890 - 904
  • [10] The Split Bregman Method for L1-Regularized Problems
    Goldstein, Tom
    Osher, Stanley
    [J]. SIAM JOURNAL ON IMAGING SCIENCES, 2009, 2 (02): : 323 - 343