Chongfan Technology
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06
2026
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03
Biphasic Metasurface for All-Optical Image Processing
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The team led by Humeyra Caglayan at the University of Tampere in Finland has demonstrated a compact analog optical computing platform based on metasurfaces. By leveraging dual-phase encoding and polarization multiplexing techniques, the authors’ approach enables arbitrary image transformations within a single passive nanophotonic device, eliminating the need for complex optical setups or digital post-processing. The authors experimentally demonstrated several key computational operations, including first-order differentiation, cross-correlation, vertex detection, and Laplacian differentiation. Furthermore, they extended this framework to high-resolution holography, achieving subwavelength-scale control of the wavefront in three dimensions, thereby enabling high-fidelity reconstruction of depth-resolved images. The authors’ research establishes a scalable and versatile computational optics method with applications spanning real-time image processing, energy-efficient computing, biomedical imaging, high-fidelity holographic displays, and optical data storage, thus driving the advancement of intelligent optical processors.
The research findings were published on February 23, 2026, in Light: Science & Applications under the title “Double-phase metasurface operators for all-optical image processing.”
Figure 1: Schematic diagram of all-optical image processing and complex holography based on metasurfaces.
Figure 2: Working Principle and Design of Metatomic Units
Figure 3: First-order differential metasurface operator based on linear polarization multiplexing
Figure 4: Cross-correlation metamorphic operator based on linear polarization multiplexing
Figure 5: Second-order differential metasurface operator based on circular polarization multiplexing
Figure 6: Complex Metasurface Holography Based on Linear Polarization Multiplexing
Source: Optical World
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