Intelligent Phase Contrast Meta-Microscope System
Journal
Nano Letters
Journal Volume
23
Journal Issue
24
Pages
11630-11637
Date Issued
2023-12-01
Author(s)
Chu, Cheng Hung
Chia, Yu-Hsin
Hsu, Hung-Chuan
Vyas, Sunil
Tsai, Chen-Ming
Yamaguchi, Takeshi
Tanaka, Takuo
Tsai, Din Ping
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.
Subjects
deep learning; edge detection; metasurface; phase contrast imaging
SDGs
Publisher
American Chemical Society
Type
journal article