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Polarimetric Compressed Sensing with Hollow, Self-Assembled Diffractive Films
Ji Feng1, Altai Perry1, Xiaojing Weng1
1Department of Mechanical Engineering, University of California at Riverside, Riverside, California 92521, United States.
ACS Nano
|January 23, 2025
Summary
This study introduces a novel nanophotonic pipeline using self-assembled optical encoders for advanced light polarization and wavefront sensing. This method enhances imaging capabilities and reduces sampling needs for polarization cameras.
Area of Science:
- Nanophotonics
- Optical Engineering
- Computational Imaging
Background:
- Polarization and wavefront sensing offer insights for surface assessment, material identification, and imaging in challenging environments.
- Conventional polarization cameras suffer from reduced resolution due to multiple sensor measurements and filtering optics.
Purpose of the Study:
- To develop a nanophotonic pipeline for compressive sensing of light polarization and wavefront information.
- To reduce sampling requirements in polarization imaging through novel optical encoders.
Main Methods:
- Utilized a low-refractive-index, self-assembled optical encoder composed of nanostructures.
- Engineered nanostructures to scatter light into lattice modes encoding wavefront direction and polarization ellipticity.
- Integrated optical encoders with a neural network for predicting polarization and pointing information.
Main Results:
- Demonstrated that random optical encoders achieve higher resolution by blurring interference patterns.
- Showcased the modulation and spatial multiplexing of light polarization by self-assembled hollow nanocavity arrays.
- Achieved prediction of wavefront direction and polarization ellipticity from diffracted interference patterns.
Conclusions:
- The proposed nanophotonic pipeline enables compressive sensing for polarization and wavefront analysis.
- Self-assembled hollow nanocavity arrays offer a distinct material class for optical encoding, distinct from metasurfaces.
- This technology has potential applications in optical computing, compressed sensing, and advanced imaging systems.

