Diffraction order‐engineered polarization‐dependent silicon nano‐antennas metagrating for compact subtissue Mueller microscopy

A polarization-dependent silicon nano-antennas metagrating (PSNM) is proposed for parallel polarization transformation by engineering diffraction orders, upon which a compact Mueller microscopy system is implemented for subtissue-level polarization extraction. The polarization-dependent metagrating is designed using matrix Fourier optics and nonlinear optimization with four diffraction orders described by waveplate-like Jones matrices, which is encoded by nano-antennas combining geometric and propagation phases. The measured phase delay and orientation of each diffraction order of the metagrating deviate by less than 6.7 % from the design values, and the overall diffraction efficiency reaches 70.89 % with a coefficient of variation of 0.021. A transmissive PSNM Mueller microscopy system is developed by directly embedding the metagrating into an infinity-corrected microscopic optical path, which extracts subtissue-level polarization distributions of biological sections over a 152 μm × 152 μm field of view with reduced measurement redundancy, facilitating the differentiation and staging of pathological tissues for potential stain-free diagnostic applications.

Authors

Institutions

Publication Details

Journal
Nanophotonics
Published
2025-12-01
DOI
https://doi.org/10.1515/nanoph-2025-0405
Primary Topic
Optical Polarization and Ellipsometry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diffraction order‐engineered polarization‐dependent silicon nano‐antennas metagrating for compact subtissue Mueller microscopy

G. Chen, Dongmei Lu, Qingyuan Li, Jianyao Li et al.
Nanophotonics
Optical Polarization and Ellipsometry
article

Diffraction order‐engineered polarization‐dependent silicon nano‐antennas metagrating for compact subtissue Mueller microscopy

G. Chen, Dongmei Lu, Qingyuan Li, Jianyao Li, Zin Lin, Xiaoxu Deng
article en

Abstract

A polarization-dependent silicon nano-antennas metagrating (PSNM) is proposed for parallel polarization transformation by engineering diffraction orders, upon which a compact Mueller microscopy system is implemented for subtissue-level polarization extraction. The polarization-dependent metagrating is designed using matrix Fourier optics and nonlinear optimization with four diffraction orders described by waveplate-like Jones matrices, which is encoded by nano-antennas combining geometric and propagation phases. The measured phase delay and orientation of each diffraction order of the metagrating deviate by less than 6.7 % from the design values, and the overall diffraction efficiency reaches 70.89 % with a coefficient of variation of 0.021. A transmissive PSNM Mueller microscopy system is developed by directly embedding the metagrating into an infinity-corrected microscopic optical path, which extracts subtissue-level polarization distributions of biological sections over a 152 μm × 152 μm field of view with reduced measurement redundancy, facilitating the differentiation and staging of pathological tissues for potential stain-free diagnostic applications.

NanophotonicsVol. 14(27)
Shanghai Jiao Tong University (CN), Huashan Hospital (CN)
Openalex Percentile: Top 63%
Optical Polarization and Ellipsometry
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.

Diffraction order‐engineered polarization‐dependent silicon nano‐antennas metagrating for compact subtissue Mueller microscopy — G. Chen, Dongmei Lu, et al. · Nanophotonics (2025) | TGRS Research Map | TGRS