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National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulations, College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China
Chen Chen (chenchen2021@nju.edu.cn)
Tao Li (taoli@nju.edu.cn)
Received:06 May 2025,
Revised:2025-09-22,
Accepted:13 October 2025,
Online First:20 January 2026,
Published:31 March 2026
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Wang, J. Y. et al. Plan meta-objective for sub-micron quantitative phase imaging. Light: Science & Applications, 15, 804-813 (2026).
Wang, J. Y. et al. Plan meta-objective for sub-micron quantitative phase imaging. Light: Science & Applications, 15, 804-813 (2026). DOI: 10.1038/s41377-025-02099-z.
Quantitative phase imaging (QPI) provides valuable objective insights for investigating transparent samples
yet miniaturizing QPI systems without compromising performance remains a critical challenge for applications requiring compactness and portability. Here
by introducing partially coherent illumination modulation
together with a plan meta-objective (PMO) design
we present a compact QPI system with sub-micron resolution. The PMO is a monolithically integrated doublet metalens with its dispersion enabling focal shifts at two wavelengths
obviating the need for mechanical translations during image acquisition for phase retrieval. The PMO is also optimized to correct for monochromatic aberrations
delivering an object-side field of view equivalent to ~90% of the lens aperture with minimal distortion and aberrations. The spatial coherence of the illumination is controlled to enhance imaging resolution. By co-designing illumination and imaging systems
we demonstrate QPI achieving a half-pitch lateral resolution of 488 nm with a phase accuracy of 0.06λ. Our approach enables high-quality QPI analysis of diverse phase objects
including unstained biospecimens
laying the foundation for the development of compact
stable
and practical QPI platforms.
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