FDTD-validated polarization microscopy combined with deep learning for pottery authentication
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Cultural Heritage Materials Analysis · Optical Polarization and Ellipsometry · Geophysical Methods and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (44)
Show source-provided references
1. J. Qian, W. Xia, Y. Huang, J. Feng, Q. Chen, C. Zuo, Principal component analysis for three-dimensional structured illumination microscopy (PCA-3DSIM). Light Sci. Appl. 14(1), 299 (2025). https://doi.org/10.1038/s41377-025-01979-810.1038/s41377-025-01979-8 ↗
2. H. Lin, C. Pan, Q. Zhang, S. Wang, Y. Zhang, S. Qiao, J. Wang, Optical-Flow-Guided Recursive Prediction-Refinement Neural Network for Particle Image Velocimetry. IEEE Trans. Instrum. Meas. 75, 1–16 (2026). https://doi.org/10.1109/TIM.2026.367057110.1109/TIM.2026.3670571 ↗
3. M. Qian, B. Deng, Y. Fu, Y. He, L. Zhang, X. Zhang, Z. Chen, H. Zhang, PYCNet: fusion of monochrome polarization camera and LiDAR for road target detection in complex lighting. IEEE Sens. J. 26(11), 17485–17497 (2026). https://doi.org/10.1109/JSEN.2026.368642210.1109/JSEN.2026.3686422 ↗
4. J. Shi, Y. Chen, X. Pang, M.R. Belić, D. Mihalache, Y. Liu, J. Li, L. Zeng, Gap solitons and truncated nonlinear Bloch waves in combined linear and quintic nonlinear lattices. Opt. Express. 34(9), 15864–15876 (2026). https://doi.org/10.1364/oe.58764910.1364/oe.587649 ↗
5. P. Valfre, Yixing teapots for Europe (Ediciones Exotic Line, 2000)
6. Z.M. Wang, M.J. Zhang, Y.M. Li, R.H. Liao, H.Q. Hu, F.B. Tang, Comparative study on composition, structure and process performance of Jingdezhen Zisha with Yixing Zisha. China Ceram. 52(6), 72–76 (2016)
7. Y. Zhou, T. Lai, H. Li, W. Lu, F. Chen, J. Wang, C. Guan, S. Chen, X. Peng, J. Liu, Cross-scale high-precision characterization for three-dimensional profiles of curved diffractive microstructures. Small Methods 10(4), e01775 (2026). https://doi.org/10.1002/smtd.20250177510.1002/smtd.202501775 ↗
8. Y. Yang, Y.W. Ni, P.F. Chen, X.S. Feng, Predicting Solar Flares Using a Convolutional Neural Network with Extreme-ultraviolet Images. Astrophys. J. 985(1), 104 (2025). https://doi.org/10.3847/1538-4357/adc88e10.3847/1538-4357/adc88e ↗
9. Y. Han, S. Liu, B.O. Ochieng, Y. Gu, L. Kong, G. Wang, Z. Ye, Multiscale mechanical study of proanthocyanidins for recovering residual stress in decellularized blood vessels. Adv. Healthc. Mater. 14(7), e2402250 (2025). https://doi.org/10.1002/adhm.20240225010.1002/adhm.202402250 ↗
10. H. Kang, G. Yan, X. Lin, Y. Tian, J. Yin, J. Liu, Z. Deng, J. Guo, J. Lu, X. Lin, L. Wang, A. Sun, X. Deng, G. Wang, Y. Fan, The substructure of the endothelial glycocalyx in rat aorta and its interaction with the low-density lipoproteins. Am. J. Pathol. 195(10), 1936–1958 (2025). https://doi.org/10.1016/j.ajpath.2025.06.00510.1016/j.ajpath.2025.06.005 ↗
11. Y. Luo, W. Ke, C. Lam, S. Im, An accurate slicing method for dynamic time warping algorithm and the segment-level early abandoning optimization. Knowl. -Based Syst. 300, 112231 (2024). https://doi.org/10.1016/j.knosys.2024.11223110.1016/j.knosys.2024.112231 ↗
12. X. Liu, H. Li, V. Sheng, Y. Ma, X. Liang, G. Wang, Scale-aware attention and multi-modal prompt learning with fusion adapter for RGBT tracking. IEEE Trans. Multimedia 28, 344–359 (2026). https://doi.org/10.1109/TMM.2025.362352610.1109/TMM.2025.3623526 ↗
13. F. Chen, Y. Yu, J. Yi, T. Zhang, J. Zhao, W. Jia, J. Yu, Multiconditional Low-Light Image Enhancement Based on Diffusion Probabilistic Models. IEEE Sens. J. 25(6), 9912–9924 (2025). https://doi.org/10.1109/JSEN.2025.353456610.1109/JSEN.2025.3534566 ↗
14. Y. Feng, Y. Wang, J. Zhou, X. Nie, S. Sun, J. Li, B. Zhang, Micro-vibration measurement using self mixing interferometry with an intracavity frequency-doubling solid-state laser. Optics & Laser Technology, 198, 114644 (2026). https://doi.org/10.1016/j.optlastec.2025.11464410.1016/j.optlastec.2025.114644 ↗
15. W.W. Chen, Y.F. Liu, S.J. Feng, W. Yin, J.M. Qian, Y.X. Li, H. Zhang, M. Trusiak, M. Kujawinska, Q. Chen, C. Zuo, Dual-frequency angular-multiplexed fringe projection profilometry with deep learning: breaking hardware limits for ultra-high-speed 3D imaging. Opto-Electron. Adv. 8(9), 250021 (2025). https://doi.org/10.29026/oea.2025.25002110.29026/oea.2025.250021 ↗
16. M.V. Ardenne, U.K. Patent 511204-A (1938)
17. C. Wang, Z. Zhang, X. Jing, Z. Yang, W. Xu, Optimization of multistage femtosecond laser drilling process using machine learning coupled with molecular dynamics. Opt. Laser Technol. 156, 108442 (2022). https://doi.org/10.1016/j.optlastec.2022.10844210.1016/j.optlastec.2022.108442 ↗
18. Z. Zhang, Z. Yang, C. Wang, W. Xu, Accelerating ultrashort pulse laser micromachining process comprehensive optimization using a machine learning cycle design strategy integrated with a physical model. J. Intell. Manuf. 35(1), 449–465 (2024). https://doi.org/10.1007/s10845-022-02058-010.1007/s10845-022-02058-0 ↗
19. Z. Zhang, S. Liu, Y. Zhang, C. Wang, S. Zhang, Z. Yang, W. Xu, Optimization of low-power femtosecond laser trepan drilling by machine learning and a high-throughput multi-objective genetic algorithm. Opt. Laser Technol. 148, 107688 (2022). https://doi.org/10.1016/j.optlastec.2021.10768810.1016/j.optlastec.2021.107688 ↗
20. X. Gan, GraphService: topology-aware constructor for large-scale graph applications. ACM Trans. Archit. Code Optim. (2025). https://doi.org/10.1145/368934110.1145/3689341 ↗
21. X. Gan, TianheGraph: topology-aware graph processing. ACM Trans. Archit. Code Optim. (2025). https://doi.org/10.1145/375045010.1145/3750450 ↗
22. W. Jiang, L. Liu, Y. Bu, Application of deep learning in the phase processing of digital holographic microscopy. Photonics 12(8), 810 (2025). https://doi.org/10.3390/photonics1208081010.3390/photonics12080810 ↗
23. X. Liu, B. Qiu, Q. Chen, Z. Ni, Y. Jiang, M. Long, L. Gui, Characterization of graphene layers using super-resolution polarization parameter indirect microscopic imaging. Opt. Express. 22(17), 20446–20456 (2014). https://doi.org/10.1364/OE.22.02044610.1364/OE.22.020446 ↗
24. K. Ullah, X. Liu, N.P. Yadav, M. Habib, L. Song, B. Garcia-Camara, Light scattering by subwavelength Cu2O particles. Nanotechnology 28(13), 134002 (2017).10.1088/1361-6528/aa5e3c ↗
25. K. Ullah, X. Liu, X. Jichuan, J. Hao, B. Xu, Z. Jun, W. Liu, A polarization parametric method of sensing the scattering signals from a submicrometer particle. IEEE Photonics Technol. Lett. 29(1), 19–22 (2017). https://doi.org/10.1109/LPT.2016.262449910.1109/LPT.2016.2624499 ↗
26. Q. Zhan, J.R. Leger, High-resolution imaging ellipsometer. Appl. Opt. 41(22), 4443–4450 (2002). https://doi.org/10.1364/ao.41.00444310.1364/ao.41.004443 ↗
27. K. Ullah, X. Liu, M. Habib, S. Lepeshov, B. Garcia-Camara, A. Krasnok, J. Liu, J. Hao, N. Yadav, Chiral all-dielectric trimer nanoantenna. J. Quant. Spectrosc. Radiat. Transf. 208, 71–77 (2018). https://doi.org/10.1016/j.jqsrt.2018.01.01510.1016/j.jqsrt.2018.01.015 ↗
28. N. Yadav, W. Wang, K. Ullah, X. Liu, Polarization parametric indirect microscopic imaging for patterned device line edge inspection. Appl. Phys. B 124(8), 167 (2018)10.1007/s00340-018-7037-3 ↗
29. K. Ullah, B. Garcia-Camara, M. Habib, N.P. Yadav, X. Liu, An indirect method of imaging the Stokes parameters of a submicron particle with sub-diffraction scattering. J. Quant. Spectrosc. Radiat. Transfer 213, 35–40 (2018)10.1016/j.jqsrt.2018.04.015 ↗
30. G. Simsek, F. Casadio, P. Colomban, L. Bellot-Gurlet, K.T. Faber, G. Zelleke, V. Milande, E. Moinet, H. Chan, On-site identification of early Böttger red stoneware made at Meissen using portable XRF: 1, body analysis. J. Am. Ceram. Soc. 97(9), 2745–2754 (2014). https://doi.org/10.1111/jace.1303210.1111/jace.13032 ↗
31. T.G. Brown, M.A. Alonso, A. Vella, M.J. Theisen, S.T. Head, S.R. Gillmer, J.D. Ellis, Focused beam scatterometry for deep subwavelength metrology. Proc. SPIE 8949, 89490Y (2014)10.1117/12.2045651 ↗
32. A. Echalier, R.L. Glazer, V. Fülöp, M.A. Geday, Assessing crystallization droplets using birefringence. Acta Crystallogr. D Biol. Crystallogr. 60(4), 696–702 (2004). https://doi.org/10.1107/S090744490400315410.1107/S0907444904003154 ↗
33. C. Ye, S. Liu, X. Teng, Q. Fang, G. Li, Morphological and optical characteristics of nanocrystalline TiO2 thin films by quantitative optical anisotropy and imaging techniques. Meas. Sci. Technol. 17(2), 436–440 (2006)10.1088/0957-0233/17/2/027 ↗
34. Q. Zhao, F. Liu, L. Zhang, D. Zhang, A comparative study on quality assessment of high-resolution fingerprint images. In: Proceedings of 17th IEEE International Conference on Image Processing, pp. 3089–3092 (2010)10.1109/ICIP.2010.5648800 ↗
35. P.K. Pandey, Y. Singh, S. Tripathi, Image processing using principle component analysis. Int. J. Comput. Appl. 15(4), 37–40 (2011). https://doi.org/10.5120/1935-258210.5120/1935-2582 ↗
36. T. Wang, B. Hou, J. Li, P. Shi, B. Zhang, H. Snoussi, TASTA: text-assisted spatial and temporal attention network for video question answering. Adv. Intell. Syst. 5(4), 2200131 (2023). https://doi.org/10.1002/aisy.20220013110.1002/aisy.202200131 ↗
37. T. Wang, J. Li, H. Wu, C. Li, H. Snoussi, Y. Wu, ResLNet: deep residual LSTM network with longer input for action recognition. Front. Comput. Sci. 16(6), 166334 (2022). https://doi.org/10.1007/s11704-021-0236-910.1007/s11704-021-0236-9 ↗
38. K. Li, Z. Zhao, H. Zhao, M. Zhou, J. Jin, W. Danyun, Z. Wang, L. Zhang, Three-stage training strategy phase unwrapping method for high speckle noises. Opt. Express. 32(27), 48895–48914 (2024)10.1364/OE.544968 ↗
39. L. Li, A. Cherouat, H. Snoussi, T. Wang, Grasping with occlusion-aware ally method in complex scenes. IEEE Trans. Autom. Sci. Eng. 22, 5944–5954 (2025). https://doi.org/10.1109/TASE.2024.343461010.1109/TASE.2024.3434610 ↗
40. R. Feng, Y. Yu, L. Wu, J. Wang, Q. Tan, S.N. Burokur, Full-space programmable metasurface for Bessel beam tailoring. Opt. Lett. 50(16), 5161–5164 (2025). https://doi.org/10.1364/OL.57065910.1364/OL.570659 ↗
41. X. Xue, H. Hu, Z. He, H. Zheng, Towards Multi-Source Illumination Color Constancy Through Physics-Based Rendering and Spectral Power Distribution Embedding. IEEE Trans. Comput. Imaging. 11, 1349–1360 (2025). https://doi.org/10.1109/TCI.2025.359844010.1109/TCI.2025.3598440 ↗
42. Y. Ji, W. Bai, A.O. Omoniyi, J. Liu, D. Chen, Y. Zhou, J. Zhang, One-stone-two-bird programmable temperature-gated 4D encryption enabled by precisely and synergistically controlled shape and color transformations of polyurethane films. Chem. Eng. J. 526, 171407 (2025). https://doi.org/10.1016/j.cej.2025.17140710.1016/j.cej.2025.171407 ↗
43. W. Yu, Q. Wu, X. Chen, J. Huo, J. Li, J. Yang, A. Zhang, Experimental First-Photon Visualization of Quantum Erasure With Hybrid Entanglement. Laser Photonics Rev. (2025). https://doi.org/10.1002/lpor.202501816. e181610.1002/lpor.202501816 ↗
44. K. He, X. Zhang, S. Ren, J. Sun, Deep Residual Learning for Image Recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016). https://doi.org/10.1109/CVPR.2016.9010.1109/CVPR.2016.90 ↗