Single-shot full-Stokes polarization and quantitative phase imaging via a single-layer metalens

Conventional image sensors are intrinsically limited to detecting optical intensity, thereby missing the rich phase and polarization dimensions of the light field. While characterizing these parameters is essential for understanding the intrinsic properties of objects, current multidimensional imaging techniques are often plagued by bulky optical setups, time-sequential scanning, or coherent noise artifacts. Here, we present a compact, single-shot imaging strategy capable of simultaneously retrieving full-Stokes polarization and quantitative phase information using a single-layer metalens. Our design utilizes the metalens to project the incident light onto distinct regions of a polarization camera. By introducing a predefined focal shift between isotropic sub-regions, we enable motion-free phase retrieval via the transport-of-intensity equation, while simultaneously separating chiral polarization states to reconstruct the complete Stokes vector. Using speckle-suppressed LED illumination, we experimentally demonstrate simultaneous full-Stokes polarization and quantitative phase imaging. This miniaturized architecture may pave the way for portable, real-time multidimensional optical sensing platforms.

Authors

Institutions

Publication Details

Journal
npj Nanophotonics
Published
2026-04-13
DOI
https://doi.org/10.1038/s44310-026-00122-8
Primary Topic
Digital Holography and Microscopy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-shot full-Stokes polarization and quantitative phase imaging via a single-layer metalens

Chenying Yang, Peicheng Lin, Xinyuan Jiang, Jiaming Liang et al.
npj Nanophotonics
Digital Holography and Microscopy
article

Single-shot full-Stokes polarization and quantitative phase imaging via a single-layer metalens

Chenying Yang, Peicheng Lin, Xinyuan Jiang, Jiaming Liang, Q. R. Zhang, Changwei Zhang, Ting Xu, Linze Li, Huai Xia, Zhenrong Zheng
article en

Abstract

Conventional image sensors are intrinsically limited to detecting optical intensity, thereby missing the rich phase and polarization dimensions of the light field. While characterizing these parameters is essential for understanding the intrinsic properties of objects, current multidimensional imaging techniques are often plagued by bulky optical setups, time-sequential scanning, or coherent noise artifacts. Here, we present a compact, single-shot imaging strategy capable of simultaneously retrieving full-Stokes polarization and quantitative phase information using a single-layer metalens. Our design utilizes the metalens to project the incident light onto distinct regions of a polarization camera. By introducing a predefined focal shift between isotropic sub-regions, we enable motion-free phase retrieval via the transport-of-intensity equation, while simultaneously separating chiral polarization states to reconstruct the complete Stokes vector. Using speckle-suppressed LED illumination, we experimentally demonstrate simultaneous full-Stokes polarization and quantitative phase imaging. This miniaturized architecture may pave the way for portable, real-time multidimensional optical sensing platforms.

npj NanophotonicsVol. 3(1)
Collaborative Innovation Center of Advanced Microstructures (CN), University of Chinese Academy of Sciences (CN), Zhejiang University (CN), Nanjing University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Sustainable cities and communities
Openalex Percentile: Top 21%
Digital Holography and Microscopy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.