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1.Electrical and Computer Engineering Department, University of California, Los Angeles, CA 90095, USA
2.Bioengineering Department, University of California, Los Angeles, CA 90095, USA
3.California NanoSystems Institute (CNSI), University of California, Los Angeles, CA 90095, USA
4.Micro Optics, Optical Systems Division, Broadcom Inc., Charlotte, NC 28262, USA
Aydogan Ozcan (ozcan@ucla.edu)
Received:29 April 2025,
Revised:2025-07-16,
Accepted:21 July 2025,
Published Online:11 August 2025,
Published:30 September 2025
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Shen, C-Y. et al. Broadband unidirectional visible imaging using wafer-scale nano-fabrication of multi-layer diffractive optical processors. Light: Science & Applications, 14, 2821-2838 (2025).
Shen, C-Y. et al. Broadband unidirectional visible imaging using wafer-scale nano-fabrication of multi-layer diffractive optical processors. Light: Science & Applications, 14, 2821-2838 (2025). DOI: 10.1038/s41377-025-01971-2.
We present a broadband and polarization-insensitive unidirectional imager that operates at the visible part of the spectrum
where image formation occurs in one direction
while in the opposite direction
it is blocked. This approach is enabled by deep learning-driven diffractive optical design with wafer-scale nano-fabrication using high-purity fused silica to ensure optical transparency and thermal stability. Our design achieves unidirectional imaging across three visible wavelengths (covering red
green
and blue parts of the spectrum)
and we experimentally validated this broadband unidirectional imager by creating high-fidelity images in the forward direction and generating weak
distorted output patterns in the backward direction
in alignment with our numerical simulations. This work demonstrates wafer-scale production of diffractive optical processors
featuring 16 levels of nanoscale phase features distributed across two axially aligned diffractive layers for visible unidirectional imaging. This approach facilitates mass-scale production of ~0.5 billion nanoscale phase features per wafer
supporting high-throughput manufacturing of hundreds to thousands of multi-layer diffractive processors suitable for large apertures and parallel processing of multiple tasks. Beyond broadband unidirectional imaging in the visible spectrum
this study establishes a pathway for artificial-intelligence-enabled diffractive optics with versatile applications
signaling a new era in optical device functionality with industrial-level
massively scalable fabrication.
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