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<p>The inability to resolve closely spaced objects fundamentally limits the information accessible to optical imaging systems. In a recent study, a <i>k</i>-space superoscillation framework is introduced as an alternative route to far-field superresolution imaging. By engineering a nonlocal, angle-dependent transmission function, the approach effectively redistributes spatial-frequency content in momentum space, enabling enhanced separation of image features without narrowing the point spread function. Implemented via an inverse-designed multilayer metastructure, the concept is experimentally validated at microwave frequencies, achieving an approximately twofold improvement in resolution. By suppressing real-space sidebands and concentrating energy into the focal region, the <i>k</i>-space approach addresses key limitations of conventional real-space superoscillation. Despite remaining challenges, such as scalability and bandwidth constraints, this work highlights the growing role of inverse design in enabling unconventional optical functionalities and offers a promising pathway toward practical superresolution imaging systems.</p>

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Achieving superresolution imaging via k-space superoscillation

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月10日

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  • Qitong Li,
  • Mark L. Brongersma

摘要

The inability to resolve closely spaced objects fundamentally limits the information accessible to optical imaging systems. In a recent study, a k-space superoscillation framework is introduced as an alternative route to far-field superresolution imaging. By engineering a nonlocal, angle-dependent transmission function, the approach effectively redistributes spatial-frequency content in momentum space, enabling enhanced separation of image features without narrowing the point spread function. Implemented via an inverse-designed multilayer metastructure, the concept is experimentally validated at microwave frequencies, achieving an approximately twofold improvement in resolution. By suppressing real-space sidebands and concentrating energy into the focal region, the k-space approach addresses key limitations of conventional real-space superoscillation. Despite remaining challenges, such as scalability and bandwidth constraints, this work highlights the growing role of inverse design in enabling unconventional optical functionalities and offers a promising pathway toward practical superresolution imaging systems.