Light-programmed system projects 28-layer 3D images in single shot
Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan Ozcan, introduced a snapshot 3D image projection system that integrates a digital encoder with a passive diffractive optical decoder, jointly optimized end-
Researchers at the UCLA Samueli School of Engineering and CNSI (California NanoSystems Institute), led by Professor Aydogan Ozcan, introduced a snapshot 3D image projection system that integrates a digital encoder with a passive diffractive optical decoder, jointly optimized end-to-end through deep learning. The hybrid architecture projects multiple distinct images onto closely spaced axial planes in a single shot, marking a significant step toward compact, high-fidelity volumetric display technologies. The research is published in the journal Light: Science & Applications.
This report comes from Phys.org. The story centres on Light-programmed system projects 28-layer 3D images in single shot. Full coverage and background context is available at the original source. Readers seeking more detail on this developing topic are encouraged to follow updates from Phys.org and related outlets covering this beat.
