Presentation Information
[9a-A23-10][JSAP-Optica Joint Symposia Invited Talk] Metasurface-based Quantitative Phase Imaging Systems
〇Cheng Hung Chu1, Sunil Vyas1, Yuan Luo1 (1.National Taiwan Univ.)
Keywords:
Quantitative phase imaging,Metasurface
Quantitative phase imaging (QPI) is a powerful label-free imaging technique for biomedical studies, providing high-contrast visualization of transparent specimens together with quantitative phase and morphometric information. Conventional QPI systems often require bulky configurations, complex optical alignment, or mechanical scanning, which limits their use in compact and practical imaging platforms. In this presentation, we report two metasurface-enabled QPI systems that employ the wavefront engineering capability of dielectric meta-optics to realize compact, robust, and high-performance phase imaging. The first platform is an off-axis common-path digital holographic microscope (DHM) based on a meta-biprism. The meta-biprism spatially separates the incident wavefront into object and reference beams, generating an off-axis interference pattern that can be directly recorded by a CCD camera for quantitative phase reconstruction. We validate the imaging performance using human lung cancer cells and obtain high-fidelity quantitative phase maps with low phase noise. The second platform is a metasurface-based Fourier ptychographic (FP) microscope designed to overcome the conventional trade-off between field of view and spatial resolution. The system combines a compact 4-f metalens imaging architecture with a programmable TFT panel for angle-varied illumination, enabling scan-free acquisition of multiple low-resolution measurements. Through computational phase retrieval, high-resolution quantitative phase images and dry mass estimation of H1975 cells are successfully achieved. Together, these two systems highlight the potential of meta-optics as a compact and versatile solution for next-generation QPI platforms, offering a promising route toward portable, low-cost, and high-resolution biomedical imaging systems.