Publications

You can also find updated records on Google Scholar, ORCID, and ResearchGate.

Representative Publications

  1. Sun J*, Wu J, Wu S, Goswami R, Girardo S, Cao L, Guck J, Koukourakis N*, Czarske J W.*, “Quantitative phase imaging through an ultra-thin lensless fiber endoscope,” Light: Science & Applications 11(1), 204 (2022). DOI
  2. Sun J*, Yang B, Koukourakis N, Guck J, Czarske J W.*, “AI-driven projection tomography with multicore fibre-optic cell rotation,” Nature Communications 15(1), 147 (2024). DOI
  3. Sun J, Kuschmierz R, Katz O, Koukourakis N, Czarske J W.*, “Lensless fiber endomicroscopy in biomedicine,” PhotoniX 5(1), 18 (2024). Link
  4. Sun J, Czarske J W.*, “Compressive holographic sensing simplifies quantitative phase imaging,” Light: Science & Applications 12(1), 121 (2023). DOI
  5. Sun J, Zhao B*, Wang D, Wang Z, Zhang J, Koukourakis N, Czarske J W, Li X.*, “Calibration-free quantitative phase imaging in multi-core fiber endoscopes using end-to-end deep learning,” Optics Letters 49(2), 342-345 (2024). DOI

Other Journal Papers and Book

  1. Tang Y, Tang Y, Zhao B, Ye X, Sun J*, Li X, “Lensless fiber endomicroscopic phase imaging using a physical model-driven neural network,” Optics Express 33(5), 10951-10964 (2025). DOI
  2. Feng Z, Fan H, Liu H, Han T, Wang J, Tan Y, Zhou W, Xu B, Liu J, Zheng J, Sun J*, Xiong D*, Yang X*, “Physics-informed diffusion enables high-fidelity multimode fiber imaging under dynamic perturbations,” Communications Physics (2026), in press.
  3. Sun J*, Koukourakis N, Guck J, Czarske J W, “Rapid computational cell-rotation around arbitrary axes in 3D with multi-core fiber,” Biomedical Optics Express 12(6), 3423-3437 (2021). DOI
  4. Sun J*, Wu J*, Koukourakis N, Kuschmierz R, Cao L, Czarske J.*, “Real-time complex light field generation through a multi-core fiber with deep learning,” Scientific Reports 12(1), 7732 (2022). DOI
  5. Chen Z, Sun J*, Yang X, Ye X, Zhao B, Li X, Czarske J W, “Diffusion-driven lensless fiber endomicroscopic quantitative phase imaging towards digital pathology,” Advanced Imaging 2(4), 041003 (2025). DOI
  6. Han T#, Sun J#*, Yang X.*, “Advancements in Optical Diffraction Neural Networks,” Photonics 12(12), 1187 (2025). DOI
  7. 孙佳伟, 陈照青, 赵斌*, 李学龙*, “深度学习在光纤成像中的应用进展(特邀封面),” 激光与光电子学进展 61(16), 1611004-1-1611004-16 (2024). DOI
  8. Sun J, Learning-based Three-dimensional Optical Cell Rotation Tomography and Quantitative Phase Imaging Using Multi-core Fibers, Shaker Verlag, 2023.
  9. Sun J, Koukourakis N, Czarske J W, “Complex wavefront shaping through a multi-core fiber,” Applied Sciences 11(9), 3949 (2021). DOI
  10. Liu Z*, Li S, Sun J.*, “High-Power Lasers and Light-Matter Interactions,” Photonics 12(5), 464 (2025). DOI
  11. Zhang S, Liu H, Zhou W, et al., “Single-shot dual-modality quantitative phase and polarization microscopy,” Optics Express 34(5), 7401-7414 (2026).
  12. Feng Z, Yue Z, Zhou W, Xu B, Liu J, Sun J, Xiong D, Yang X, “High-fidelity image reconstruction in multimode fiber imaging through the MITM-Unet framework,” Optics Express 33(3), 5866-5876 (2025). DOI
  13. Zhang Z, Zhao B, Chen Y, Wang Z, Wang D, Sun J, Zhang J, Xu J, Li X, “ASF-Transformer: neutralizing the impact of atmospheric turbulence on optical imaging through alternating learning in the spatial and frequency domains,” Optics Express 31(22), 37128-37141 (2023).
  14. Xue Y, Liu J, Zhou W, Xu B, Sun J, Yang X, “Structure-guided laser speckle contrast imaging for enhancing microvascular visualization in dual-display laparoscopy,” Optics Express 33(6), 14170-14183 (2025).
  15. Li A, Gao Z, Sun J, Chen Y, Yuan Q, Ge X, Yang C, Zhu L, Ma S, Wei L, Wang S, Yang P, “Learning-based cross-scale wavefront measurement with a hybrid Shack-Hartmann-digital holographic sensor,” Chinese Optics Letters 23(12), 121203 (2025).
  16. Chen P, Wu Z, Sun J, Wang D, Zhou P, Cao N, Ding Y, Zhao B, Li X, “AlignBot: Aligning VLM-Powered Customized Task Planning with User Reminders Through Fine-Tuning for Household Robots,” IEEE International Conference on Robotics and Automation (ICRA), 12549-12556 (2025).

Conference Papers

  1. Feng Z, Zhou W, Xu B, Xiong D, Sun J*, Yang X.*, “Wavelength Multiplexing Image Transportation Through Multimode Fiber Using Physics-informed Deep Learning,” Signal Processing in Photonic Communications, Optica Publishing Group, SpM4F.3 (2025).
  2. Feng Z, Sun J, Xiong D, et al., “Physics-and Data-Driven Diffusion Framework with Key-Frame Calibration for Robust Multimode Fiber Imaging,” 2025 Light Conference (LC), IEEE, 1-2 (2025).
  3. Sun J, Yang B, Yang X, et al., “Ultra-thin AI-driven fiber probe for optical manipulation and isotropic 3D tomography,” 2025 Light Conference (LC), IEEE, 1-4 (2025).
  4. Sun J, Krause D, Yang X, et al., “AI-driven fiber-optic cell rotation for tomographic imaging,” Optical Manipulation and Its Applications, Optica Publishing Group, ATu3D.3 (2025).
  5. Krause D, Sun J, Yang B, et al., “Comparative analysis of optical diffraction tomography cell rotation techniques for isotropic resolution,” Optical Manipulation and Its Applications, Optica Publishing Group, AW2D.2 (2025).
  6. Sun J, Chen Z, Tang Y, Yang B, Wang Z, Huang G, Zhao B, Li X, Czarske J, “AI-driven multicore fiber-optic cell rotation,” Emerging Topics in Artificial Intelligence (ETAI), SPIE 13118, 5-9 (2024).
  7. Krause D, Sun J, Koukourakis N, et al., “Full-angle projection tomography with AI-enhanced fibre optics rotation: from cells to organoids,” Optical Trapping and Optical Micromanipulation XXI, SPIE, PC131120M (2024).
  8. Yang B, Sun J, Koukourakis N, et al., “Learning-based optical diffraction tomography for label-free 3D cell imaging,” Biomedical Spectroscopy, Microscopy, and Imaging III, SPIE, PC130060M (2024).
  9. Zhang J, Sun J, Koukourakis N, et al., “Lensless microendoscope for quantitative phase imaging with flexible working distance,” Unconventional Optical Imaging IV, SPIE, PC1299606 (2024).
  10. Sun J, Koukourakis N, Czarske J W, “3D cell rotation in multicore fiber-based optical diffraction tomography with isotropic resolution using deep learning,” Optical Trapping and Optical Micromanipulation XX, SPIE, PC126490R (2023).
  11. Sun J, Koukourakis N, Czarske J W, “Image quality enhancement for ultra-thin lensless multi-core fiber phase endoscopes,” Quantitative Phase Imaging IX, SPIE 12389, 16-21 (2023).
  12. Sun J, Koukourakis N, Czarske J W, “Real-time quantitative phase imaging through a multicore fiber using deep learning,” Holography, Diffractive Optics, and Applications XII, SPIE 12318, 123180F (2022).
  13. Sun J, Koukourakis N, Czarske J W, “3D cell-rotation using multi-core fiber-based lab-on-a-chip for optical tomography,” Optical Trapping and Optical Micromanipulation XIX, SPIE, PC1219808 (2022).
  14. Sun J, Dunkelberg N, Koukourakis N, et al., “Multi-dimensional cell-rotation using multi-core fibers and wavefront shaping,” Quantitative Phase Imaging VII, SPIE 11653, 116530J (2021).

Representative papers are also available from the publisher pages: