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Plan meta-objective for sub-micron quantitative phase imaging.

Junyi Wang1, Jiacheng Sun1, Jian Li1

  • 1National Laboratory of Solid State Microstructures, Key Laboratory of Intelligent Optical Sensing and Manipulations, College of Engineering and Applied Sciences, Jiangsu Key Laboratory of Artificial Functional Materials, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing, China.

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Summary
This summary is machine-generated.

This study presents a compact quantitative phase imaging (QPI) system using a novel plan meta-objective and modulated illumination. The system achieves sub-micron resolution for transparent samples, enabling portable QPI applications.

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Area of Science:

  • Optics and Photonics
  • Biomedical Imaging
  • Materials Science

Background:

  • Quantitative phase imaging (QPI) offers objective analysis of transparent samples.
  • Miniaturizing QPI systems without performance loss is crucial for portable applications.
  • Existing QPI systems face challenges in compactness and stability.

Purpose of the Study:

  • To develop a compact QPI system with sub-micron resolution.
  • To overcome limitations of current portable QPI technologies.
  • To enable high-quality phase imaging of unstained biospecimens.

Main Methods:

  • Introduced partially coherent illumination modulation.
  • Designed a plan meta-objective (PMO) as a doublet metalens.
  • Integrated PMO with dispersion for dual-wavelength focal shifts, eliminating mechanical translations.
  • Optimized PMO for aberration correction and wide field of view.
  • Controlled spatial coherence of illumination to enhance resolution.

Main Results:

  • Achieved a half-pitch lateral resolution of 488 nm.
  • Demonstrated a phase accuracy of 0.06λ.
  • Enabled QPI analysis of diverse phase objects, including unstained biospecimens.
  • The PMO corrected monochromatic aberrations and provided a large field of view with minimal distortion.

Conclusions:

  • The developed compact QPI system offers high resolution and accuracy.
  • This approach facilitates the creation of stable, practical, and portable QPI platforms.
  • Enables advanced imaging of unstained biological samples for research and diagnostics.