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

Dong-Xu Yu¹, Zhao Jiang², Yi Zheng¹

¹School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, China.

Light, Science & Applications

|March 2, 2026

Summary

This study introduces a novel continuous zoom microscope using liquid lenses and AI for adaptive aberration correction. It enables high-quality, large-range microscopic imaging for biology, medicine, and materials science.

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Last Updated: May 2, 2026

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Area of Science:

Microscopy
Optical Engineering
Computational Imaging

Background:

Liquid lenses offer real-time optical zooming in microscopy but have limited zoom range and introduce aberrations.
Dynamic aberrations during zooming degrade image quality, hindering applications in biology, medicine, and materials science.

Purpose of the Study:

To develop a continuous optical zoom microscope with a large zoom ratio and adaptive aberration correction.
To address limitations of current liquid lens microscopy, improving image quality across a wide zoom range.

Main Methods:

An end-to-end joint optimization framework integrating optical design and a neural network guided by physical degradation.
Incorporation of spatially-variant, multi-wavelength, and continuous-magnification 4D Point Spread Function (4D PSF) as physical priors.
Development of a 4D PSF-aware Physical Degradation-guided Network (4DPSF-PDNet) for adaptive aberration correction.

Main Results:

Achieved fast and high-quality continuous zoom imaging from 10.6× to 101.4×.
Successfully adaptively corrected complex aberrations varying with magnification and spatial location.
Demonstrated suppression of distortions and artifacts with precise correction of dynamic aberrations.

Conclusions:

The proposed adaptive continuous microscope offers significant promise for dynamic and cross-scale microscopic observation.
The integration of hardware (zoom objective, liquid lenses) and advanced algorithms (4DPSF-PDNet) overcomes previous limitations.
This technology has broad potential applications in biological research, medical diagnostics, and materials science.