Matrix Fourier optics enables a compact full-Stokes polarization camera

Noah A. Rubin, Gabriele D’Aversa, Paul Chevalier, Zhujun Shi, Wei Ting Chen, Federico Capasso

Research output: Contribution to journalArticlepeer-review

428 Scopus citations


Recent developments have enabled the practical realization of optical elements in which the polarization of light may vary spatially. We present an extension of Fourier optics—matrix Fourier optics—for understanding these devices and apply it to the design and realization of metasurface gratings implementing arbitrary, parallel polarization analysis. We show how these gratings enable a compact, full-Stokes polarization camera without standard polarization optics. Our single-shot polarization camera requires no moving parts, specially patterned pixels, or conventional polarization optics and may enable the widespread adoption of polarization imaging in machine vision, remote sensing, and other areas.
Original languageEnglish (US)
Issue number6448
StatePublished - Jul 5 2019
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-10
Acknowledged KAUST grant number(s): OSR-2016-CRG5-2995
Acknowledgements: We acknowledge M. Tamagnone, Y.-W. Huang, V. Ginis, S. Kheifets, Z. Li, A. Zaidi, and A. Dorrah (all of Harvard University) for helpful comments. N.A.R. acknowledges support from the National Science Foundation Graduate Research Fellowship Program (GRFP) under grant no. DGE1144152. This work was supported by the Air Force Office of Scientific Research under grant nos. FA9550-18-P-0024, FA9550-16-1-0156, and FA9550-14-1-0389 (MURI). We also acknowledge support from a Physical Sciences and Engineering Accelerator grant from Harvard University’s Office of Technology Development and a gift from the Google Accelerated Science team. F.C. acknowledges support from King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under grant no. OSR-2016-CRG5-2995. This work was performed in part at the Center for Nanoscale Systems (CNS), a member of the National Nanotechnology Coordinated Infrastructure (NNCI), which is supported by the National Science Foundation under NSF award no. 1541959. CNS is part of Harvard University.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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