Photonics Research, Volume. 12, Issue 7, 1494(2024)

Neural-field-assisted transport-of-intensity phase microscopy: partially coherent quantitative phase imaging under unknown defocus distance

Yanbo Jin1,2,3、†, Linpeng Lu1,2,3、†, Shun Zhou1,2,3, Jie Zhou1,2,3, Yao Fan1,2,3, and Chao Zuo1,2,3、*
Author Affiliations
  • 1Smart Computational Imaging Laboratory (SCILab), School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
  • 2Smart Computational Imaging Research Institute (SCIRI) of Nanjing University of Science and Technology, Nanjing 210019, China
  • 3Jiangsu Key Laboratory of Spectral Imaging & Intelligent Sense, Nanjing 210094, China
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    Figures & Tables(4)
    (a) Schematic diagram of our proposed NFTPM method. (b) The physics prior (forward image formation model) of NFTPM.
    Comparison of phase (0–1 rad) reconstruction results of a simulated cell sample using NFTPM, BlindNet, TIE, AI-TIE, and GS methods under different illumination settings and a defocus distance of 5 μm. (a) Results under coherent illumination. (b) Results under partially coherent illumination (S=0.85). (c) Comparison between AI-TIE and NFTPM for the large phase (0–6 rad) under partially coherent illumination (S=0.85). (d) Comparison between BlindNet and NFTPM after downsizing the network under coherent illumination. (e), (f) Phase line profiles corresponding to (c), (d).
    Comparison between AI-TIE and NFTPM with an incorrect initial value of the defocus distance in various illuminations. (a) Intensity images under circular illuminations (S=0.10, 0.40, and 0.75) and annular NA-matched illumination. (b) The results of AI-TIE. (c) The results of NFTPM. (d) The results of NFTPM in the presence of noise. (e) Ground truth. (f) Convergence curves of the defocus value and loss value (in logarithmic form). (g) The defocus distance prediction process of NFTPM for intensity images simulated at other defocus distances under annular illumination.
    Experimental observation of HeLa cells via NFTPM under annular NA-matched illumination (see Visualization 1). (a) The full FOV of the reconstruction result of NFTPM. (b) The defocus distance prediction process. (c1), (c2) The phase retrieved by AI-TIE. (d1), (d2) The phase retrieved by NFTPM.
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    Yanbo Jin, Linpeng Lu, Shun Zhou, Jie Zhou, Yao Fan, Chao Zuo, "Neural-field-assisted transport-of-intensity phase microscopy: partially coherent quantitative phase imaging under unknown defocus distance," Photonics Res. 12, 1494 (2024)

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    Paper Information

    Category: Imaging Systems, Microscopy, and Displays

    Received: Feb. 19, 2024

    Accepted: May. 9, 2024

    Published Online: Jul. 1, 2024

    The Author Email: Chao Zuo (zuochao@njust.edu.cn)

    DOI:10.1364/PRJ.521056

    CSTR:32188.14.PRJ.521056

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