Chip-integrated metasurface with double-helix point spread functions for ultra-large dynamic range wavefront sensing

Wavefront sensing underpins diverse optical technologies, requiring compact sensors with large dynamic range, high spatial sampling density, and photonic integration. Conventional Shack-Hartmann sensors offer only ~±1° intrinsic geometric dynamic range, ~10 sub-apertures per millimeter, and cannot resolve polarization-dependent wavefronts. Existing metasurface-based approaches still require external imaging optics, preventing true on-chip integration. Critically, both schemes suffer from an inherent trade-off between dynamic range and sampling density. Here, we present the first chip-integrated metasurface Shack-Hartmann sensor operating directly on a complementary metal oxide semiconductor image sensor without external optics. Our dual-encoding strategy uses orientation-encoded double-helix point spread functions to extend the dynamic range to ±9.4° per channel without degrading sampling density, while orthogonal circular polarization channels with distinct lobe separations double the sampling density without sacrificing dynamic range. The architecture inherently supports vectorial wavefront sensing. We demonstrate three-dimensional localization of point source, lens profilometry, and video-rate dynamic wavefront monitoring, establishing a scalable platform for alignment-free, high-performance metrology.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-05-12
DOI
https://doi.org/10.1038/s41467-026-72887-7
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Chip-integrated metasurface with double-helix point spread functions for ultra-large dynamic range wavefront sensing

Jitao Ji, Yanhao Chu, Xiaopeng Li, Xian Long et al.
Nature Communications
Metamaterials and Metasurfaces Applications
article

Chip-integrated metasurface with double-helix point spread functions for ultra-large dynamic range wavefront sensing

Jitao Ji, Yanhao Chu, Xiaopeng Li, Xian Long, Shining Zhu, Junyi Wang, Jian Li, Tao Li, Jiacheng Sun
article en

Abstract

Wavefront sensing underpins diverse optical technologies, requiring compact sensors with large dynamic range, high spatial sampling density, and photonic integration. Conventional Shack-Hartmann sensors offer only ~±1° intrinsic geometric dynamic range, ~10 sub-apertures per millimeter, and cannot resolve polarization-dependent wavefronts. Existing metasurface-based approaches still require external imaging optics, preventing true on-chip integration. Critically, both schemes suffer from an inherent trade-off between dynamic range and sampling density. Here, we present the first chip-integrated metasurface Shack-Hartmann sensor operating directly on a complementary metal oxide semiconductor image sensor without external optics. Our dual-encoding strategy uses orientation-encoded double-helix point spread functions to extend the dynamic range to ±9.4° per channel without degrading sampling density, while orthogonal circular polarization channels with distinct lobe separations double the sampling density without sacrificing dynamic range. The architecture inherently supports vectorial wavefront sensing. We demonstrate three-dimensional localization of point source, lens profilometry, and video-rate dynamic wavefront monitoring, establishing a scalable platform for alignment-free, high-performance metrology.

Nature Communications
Nanjing University of Chinese Medicine (CN), China Pharmaceutical University (CN), Collaborative Innovation Center of Advanced Microstructures (CN), Nanjing University (CN)
National Natural Science Foundation of China, National Laboratory of Solid State Microstructures, Nanjing University, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 13%
Metamaterials and Metasurfaces Applications
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.