Large zoom ratio and adaptive aberration correction microscope using 4DPSF-aware Physical Degradation-guided Network

Dong-Xu Yu; Zhao Jiang; Yi Zheng; Hao-Ran Zhang; Rong-Qiang Li; You-Ran Zhao; Xiao-Ke Lu; Yu-Cheng Lin; Chao Liu; Qiong-Hua Wang

doi:10.1038/s41377-025-02155-8

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Large zoom ratio and adaptive aberration correction microscope using 4DPSF-aware Physical Degradation-guided Network

Original Articles

- Large zoom ratio and adaptive aberration correction microscope using 4DPSF-aware Physical Degradation-guided Network
- Light: Science & Applications Vol. 15, Issue 5, Pages: 1563-1572(2026)
- Affiliations：
  
  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
- Author bio：
  
  Chao Liu (chaoliu@buaa.edu.cn)
  Qiong-Hua Wang (qionghua@buaa.edu.cn)
- Funds：
- DOI：10.1038/s41377-025-02155-8
  CLC：
- Received：09 May 2025，
  
  Revised：2025-11-25，
  
  Accepted：01 December 2025，
  
  Online First：03 March 2026，
  
  Published：31 May 2026
- Accepted：
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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：

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.

摘要

Abstract

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.

关键词

Keywords

references

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