Researching | Neural network enables ultrathin flat optics imaging in full color

Advanced Photonics, Volume. 6, Issue 5, 050502(2024)

Neural network enables ultrathin flat optics imaging in full color

Anna Wirth Singh¹, Johannes Froch², and Arka Majumdar^1,2、*

Author Affiliations

¹University of Washington, Physics Department, Seattle, Washington, United States

²University of Washington, Department of Electrical and Computer Engineering, Seattle, Washington, United States

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References(7)

[1] W. T. Chen, A. Y. Zhu, F. Capasso. Flat optics with dispersion-engineered metasurfaces. Nat. Rev. Mater., 5, 604-620(2020).

[2] F. Presutti, F. Monticone. Focusing on bandwidth: achromatic metalens limits. Optica, 7, 624-631(2020).

[3] M. Y. Shalaginov et al. Single-element diffraction-limited fisheye metalens. Nano Lett., 20, 7429-7437(2020).

[4] A. Martins et al. On metalenses with arbitrarily wide field of view. ACS Photonics, 7, 2073-2079(2020).

[5] Y. Liu et al. Ultra-wide FoV meta-camera with transformer-neural-network color imaging methodology. Adv. Photonics, 6, 056001(2024).

[6] E. Tseng et al. Neural nano-optics for high-quality thin lens imaging. Nat. Commun., 12, 6493(2021).

[7] J. E. Froch et al. Beating bandwidth limits for large aperture broadband nano-optics(2024).

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Anna Wirth Singh, Johannes Froch, Arka Majumdar, "Neural network enables ultrathin flat optics imaging in full color," Adv. Photon. 6, 050502 (2024)

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Paper Information

Category: News and Commentaries

Received: --

Accepted: --

Published Online: Sep. 18, 2024

The Author Email: Majumdar Arka (arka@uw.edu)

DOI:10.1117/1.AP.6.5.050502

CSTR:32187.14.1.AP.6.5.050502

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology