Acta Optica Sinica, Volume. 45, Issue 11, 1117001(2025)

UPSU‑Net: an Unsupervised Deep Learning Framework for Photoacoustic Spectral Unmixing

Jingsai Ai1, Zheng Sun1,2、*, Yingsa Hou1, and Meichen Sun1
Author Affiliations
  • 1Department of Electronic and Communication Engineering, North China Electric Power University, Baoding 071003, Hebei , China
  • 2Hebei Key Laboratory of Power Internet of Things Technology, North China Electric Power University, Baoding 071003, Hebei , China
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    References(36)

    [1] Huang K E, Zhang L, Lin L. Advances in photoacoustic breast imaging[J]. Chinese Journal of Lasers, 51, 0907003(2024).

    [3] Lai P X, Zhao Q, Zhou Y Y et al. Deep-tissue optics: technological development and applications (invited)[J]. Chinese Journal of Lasers, 51, 0107003(2024).

    [5] Liu Y, Qin S Y, Zhang C et al. Absorption coefficient measurement of turbid media based on acousto optical tomography[J]. Acta Optica Sinica, 44, 0417001(2024).

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    Jingsai Ai, Zheng Sun, Yingsa Hou, Meichen Sun. UPSU‑Net: an Unsupervised Deep Learning Framework for Photoacoustic Spectral Unmixing[J]. Acta Optica Sinica, 2025, 45(11): 1117001

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    Paper Information

    Category: Medical optics and biotechnology

    Received: Dec. 2, 2024

    Accepted: Mar. 3, 2025

    Published Online: Jun. 24, 2025

    The Author Email: Zheng Sun (sunzheng@ncepu.edu.cn)

    DOI:10.3788/AOS241824

    CSTR:32393.14.AOS241824

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