1.School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China
2.School of Remote Sensing Science and Technology, Aerospace Information Technology University, Jinan, China
Chao Liu (chaoliu@buaa.edu.cn)
Qiong-Hua Wang (qionghua@buaa.edu.cn)
收稿:2025-05-09,
修回:2025-11-25,
录用:2025-12-01,
网络首发:2026-03-03,
纸质出版:2026-05-31
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Dong-Xu Yu, Zhao Jiang, Yi Zheng, 等. Large zoom ratio and adaptive aberration correction microscope using 4DPSF-aware Physical Degradation-guided Network[J]. Light: Science & Applications, 2026,15(5):1563-1572.
Yu, D. X. et al. Large zoom ratio and adaptive aberration correction microscope using 4DPSF-aware Physical Degradation-guided Network. Light: Science & Applications, 15, 1563-1572 (2026).
Dong-Xu Yu, Zhao Jiang, Yi Zheng, 等. Large zoom ratio and adaptive aberration correction microscope using 4DPSF-aware Physical Degradation-guided Network[J]. Light: Science & Applications, 2026,15(5):1563-1572. DOI: 10.1038/s41377-025-02155-8.
Yu, D. X. et al. Large zoom ratio and adaptive aberration correction microscope using 4DPSF-aware Physical Degradation-guided Network. Light: Science & Applications, 15, 1563-1572 (2026). DOI: 10.1038/s41377-025-02155-8.
In response to the emerging demand for dynamic and cross-scale microscopic observation in fields such as biology
medicine
and materials science
the liquid lens has been widely adopted in modern microscopy to enable real-time
continuous optical zooming. However
the limited optical power of the liquid lens restricts the zoom range
and the nonlinear dynamic aberrations introduced during zooming can significantly degrade image quality. To address these challenges
a continuous optical zoom microscope with a large zoom ratio and adaptive aberration correction is proposed
based on an end-to-end joint optimization framework that integrates optical design and neural network guided by physical degradation. By incorporating spatially-variant
multi-wavelength
and continuous-magnification 4D PSF of the system as physical priors
this work achieves fast and high-quality continuous zoom imaging from 10.6× ~ 101.4×
while adaptively correcting complex aberrations that vary with both magnification and spatial location. The core hardware component of the system is a zoom objective lens with a movable relay image plane
which especially integrates electrowetting liquid lenses. On the algorithmic side
4DPSF-aware Physical Degradation-guided Network (4DPSF-PDNet) is introduced for adaptive aberration correction during the zooming process. By embedding the PSF into the network
the method effectively suppresses distortions and artifacts and achieves precise correction of complex
dynamically varying aberrations. Experimental results demonstrate that the proposed adaptive continuous microscope holds significant promise for a wide range of applications in biology
medical diagnostics
and materials science.
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