Light-programmed system projects 28-layer 3D images in single shot
Researchers at UCLA Samueli and CNSI have developed a hybrid digital-optical system that projects 28 distinct 3D image layers simultaneously without crosstalk. The system combines a digital encoder with a passive diffractive decoder, optimized end-to-end via deep learning. This breakthrough advances compact volumetric display technology, with applications in high-fidelity 3D imaging.
What changed
This is the first confirmed report of a 28-layer 3D projection system using a single-shot light-programmed approach with deep learning co-design.
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UCLA team projects 28-layer 3D images in single shot using AI-optimized light system
confidence 95%Researchers at UCLA Samueli and CNSI have developed a hybrid digital-optical system that projects 28 distinct 3D image layers simultaneously without crosstalk. The system combines a digital encoder with a passive diffractive decoder, optimized end-to-end via deep learning. This breakthrough advances compact volumetric display technology, with applications in high-fidelity 3D imaging.
What's confirmed:
- A UCLA Samueli School of Engineering and CNSI team led by Professor Aydogan Ozcan created a snapshot 3D image projection system that integrates a digital encoder with a passive diffractive optical decoder.
- The system projects multiple distinct images onto closely spaced axial planes in a single exposure, eliminating crosstalk between layers.
- Deep learning was used to jointly optimize the digital and optical components end-to-end for high-fidelity volumetric imaging.
- The research was published in the journal *Light: Science & Applications* on June 16, 2026.