Metasurface computational imaging

M. V. Zhelyeznyakov; S. Colburn; E. Bayati; A. Majumdar

doi:10.1117/12.2505960

4 March 2019 Metasurface computational imaging

M. V. Zhelyeznyakov, S. Colburn, E. Bayati, A. Majumdar

Proceedings Volume 10928, High Contrast Metastructures VIII; 109280J (2019) https://doi.org/10.1117/12.2505960
Event: SPIE OPTO, 2019, San Francisco, California, United States

Abstract

Conventional imaging systems are usually composed of bulky glass optics, and while they work well for many applications, they offer little functionality in applications where system size is a constraint. Optical metasurfaces provide a thin and light-weight alternative to conventional bulky optical elements by manipulating light scattering via resonant nanostructures. The inherent diffractive nature of metalenses induces severe chromatic aberrations when imaging under broadband illumination, which limits their potential applications where multi-color information is important. In this work, we present an alternative metalens plus computational design where the point spread function is engineered to be spectrally invariant to reduce chromatic aberrations and enables computational reconstruction of a measurement using a single digital filter. The created lenses have a numerical aperture of ~0.45 and generate in-focus images under whitelight illumination.

Conference Presentation

Citation Download Citation

M. V. Zhelyeznyakov, S. Colburn, E. Bayati, and A. Majumdar "Metasurface computational imaging", Proc. SPIE 10928, High Contrast Metastructures VIII, 109280J (4 March 2019); https://doi.org/10.1117/12.2505960

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