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Exploiting universal nonlocal dispersion in optically active materials for spectro-polarimetric computational imaging

Xueji Wang, Todd Van Mechelen, Sathwik Bharadwaj, M. Roknuzzaman, Fanglin Bao, Rajib Rahman, Zubin Jacob

2024eLight32 citationsDOIOpen Access PDF

Abstract

Abstract Recent years have seen significant advancements in exploring novel light-matter interactions such as hyperbolic dispersion within natural crystals. However, current studies have predominantly concentrated on local optical response of materials characterized by a dielectric tensor without spatial dispersion. Here, we investigate the nonlocal response in optically-active crystals with screw symmetries, revealing their lossless, super-dispersive properties compared to traditional optical response functions. We leverage this universal nonlocal dispersion, i.e. the dispersion of optical rotatory power, to explore a novel spectral de-multiplexing scheme compared to conventional gratings, prisms and metasurfaces. We design and demonstrate an ‘Nonlocal-Cam’ - a camera that exploits nonlocal dispersion through sampling of polarized spectral states and the application of computational spectral reconstruction algorithms. The Nonlocal-Cam captures information in both laboratory and outdoor field experiments which is unavailable to traditional intensity cameras - the spectral texture of polarization. Merging the fields of nonlocal electrodynamics and computational imaging, our work paves the way for exploiting nonlocal optics of optically active materials in a variety of applications, from biological microscopy to physics-driven machine vision and remote sensing.

Topics & Concepts

PolarimetryDispersion (optics)Polarization (electrochemistry)OpticsLossless compressionPhysicsComputer scienceScatteringComputer visionData compressionChemistryPhysical chemistryMetamaterials and Metasurfaces ApplicationsPlasmonic and Surface Plasmon ResearchMechanical and Optical Resonators
Exploiting universal nonlocal dispersion in optically active materials for spectro-polarimetric computational imaging | Litcius