Intelligent Phase Contrast Meta-Microscope System
Cheng Hung Chu, Yu‐Hsin Chia, Hung‐Chuan Hsu, Sunil Vyas, Chen-Ming Tsai, Takeshi Yamaguchi, Takuo Tanaka, Huei‐Wen Chen, Yuan Luo, Pan‐Chyr Yang, Din Ping Tsai
Abstract
Phase contrast imaging techniques enable the visualization of disparities in the refractive index among various materials. However, these techniques usually come with a cost: the need for bulky, inflexible, and complicated configurations. Here, we propose and experimentally demonstrate an ultracompact meta-microscope, a novel imaging platform designed to accomplish both optical and digital phase contrast imaging. The optical phase contrast imaging system is composed of a pair of metalenses and an intermediate spiral phase metasurface located at the Fourier plane. The performance of the system in generating edge-enhanced images is validated by imaging a variety of human cells, including lung cell lines BEAS-2B, CLY1, and H1299 and other types. Additionally, we integrate the ResNet deep learning model into the meta-microscope to transform bright-field images into edge-enhanced images with high contrast accuracy. This technology promises to aid in the development of innovative miniature optical systems for biomedical and clinical applications.