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<p>Quantitative phase imaging (QPI) enables non-invasive analysis of transparent specimens across biomedicine, materials science, and neuroscience. However, conventional hardware relies on complex architectures with multi-shot acquisition that preclude compact, real-time operation, while phase-retrieval software often yields degraded image quality, is environmentally sensitive, and runs slowly. Here, we introduce a compact, fast, high-resolution QPI platform that addresses these challenges by integrating nanophotonic metasurfaces with artificial intelligence (AI). Our metasurface optics simplifies the optical architecture by replacing bulky optics and modulators, enabling single-shot acquisition and a drastic reduction in form factor. We develop physics-informed AI models that correct optical aberrations, compensate for imperfections in nanofabrication and alignment, and restore nanoscale quantitative phase information in real-time. The system achieves nanoscale resolution better than 840 nm at 74 Hz within a single, thin optical layer. Our unique combination of nanophotonic hardware and AI algorithms advances QPI technology towards portable, precise, real-time phase imaging.</p>

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Neural phase microscopy with metasurface optics for real-time and nanoscale quantitative phase imaging

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月13日

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  • Gun-Yeal Lee,
  • Changhyun Kim,
  • Manu Gopakumar,
  • Youngjin Kim,
  • Byoungho Lee,
  • Yoonchan Jeong,
  • Gordon Wetzstein

摘要

Quantitative phase imaging (QPI) enables non-invasive analysis of transparent specimens across biomedicine, materials science, and neuroscience. However, conventional hardware relies on complex architectures with multi-shot acquisition that preclude compact, real-time operation, while phase-retrieval software often yields degraded image quality, is environmentally sensitive, and runs slowly. Here, we introduce a compact, fast, high-resolution QPI platform that addresses these challenges by integrating nanophotonic metasurfaces with artificial intelligence (AI). Our metasurface optics simplifies the optical architecture by replacing bulky optics and modulators, enabling single-shot acquisition and a drastic reduction in form factor. We develop physics-informed AI models that correct optical aberrations, compensate for imperfections in nanofabrication and alignment, and restore nanoscale quantitative phase information in real-time. The system achieves nanoscale resolution better than 840 nm at 74 Hz within a single, thin optical layer. Our unique combination of nanophotonic hardware and AI algorithms advances QPI technology towards portable, precise, real-time phase imaging.