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Quantitative phase contrast imaging with a nonlocal angle-selective metasurface.

Anqi Ji¹, Jung-Hwan Song¹, Qitong Li¹

¹Geballe Laboratory for Advanced Materials, Stanford University, Stanford, CA, 94305, USA.

Nature Communications

|December 21, 2022

Summary

This summary is machine-generated.

Researchers developed a novel phase contrast imaging technique using a guided-mode-resonator metasurface. This innovation enhances visualization of translucent objects, offering quantitative phase contrast imaging with high accuracy for diverse applications.

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Quantitative Optical Microscopy: Measurement of Cellular Biophysical Features with a Standard Optical Microscope

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Area of Science:

Optics and Photonics
Nanotechnology
Biophysics

Background:

Phase contrast microscopy is crucial for visualizing translucent specimens in biology, geology, and nanotechnology.
Conventional phase contrast microscopy relies on a 4f image processing setup, largely unchanged since its invention.
Limitations exist in conventional methods for quantitative phase measurements.

Purpose of the Study:

To introduce a new phase contrast imaging approach using guided-mode-resonator metasurfaces.
To demonstrate the capability of this novel technique for imaging various phase objects.
To enable quantitative phase contrast imaging with improved accuracy.

Main Methods:

Harnessing the non-local optical response of a guided-mode-resonator metasurface.
Integrating the metasurface into a conventional microscope setup.
Imaging biological cells, polymeric nanostructures, and transparent metasurfaces.

Main Results:

Successful imaging of diverse phase objects including biological cells and nanostructures.
Demonstration of quantitative phase contrast imaging with a phase accuracy of 0.02π.
Validation of the metasurface's effectiveness in enhancing phase contrast capabilities.

Conclusions:

The proposed metasurface-based approach offers a conceptually new method for phase contrast imaging.
This technique significantly improves quantitative phase contrast imaging accuracy.
The work contributes to the application of metasurfaces in analog optical computing.