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

Wang, Xueji; Van Mechelen, Todd; Bharadwaj, Sathwik; Roknuzzaman, Md; Bao, Fanglin; Rahman, Rajib; Jacob, Zubin

doi:10.1186/s43593-024-00078-2

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

Journal Article · 05 December 2024 · eLight

DOI: https://doi.org/10.1186/s43593-024-00078-2 · OSTI ID:2479933

Wang, Xueji ^[1]; Van Mechelen, Todd ^[1]; Bharadwaj, Sathwik ^[1]; Roknuzzaman, Md ^[2]; Bao, Fanglin ^[1]; Rahman, Rajib ^[2]; Jacob, Zubin ^[1]

Purdue Univ., West Lafayette, IN (United States)
Univ. of New South Wales, Sydney, NSW (Australia)

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.

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Research Organization:: Purdue Univ., West Lafayette, IN (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: SC0017717

OSTI ID:: 2479933

Journal Information:: eLight, Journal Name: eLight Journal Issue: 1 Vol. 4; ISSN 2662-8643

Publisher:: SpringerCopyright Statement

Country of Publication:: United States

Language:: English

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