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Intelligent Phase Contrast Meta-Microscope System
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DOI：10.1021/acs.nanolett.3c03484.png)
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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.
Keyword:
metasurface
phase contrastimaging
edge detection
deep learning
期刊
IF:
9.1
论文数:
2.7W
被引数:
16.5W
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引用论文
Varifocal Metalens for Optical Sectioning Fluorescence Microscopy用于光学切片荧光显微镜的变焦超透镜.png)
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NANO LETTERSIF9.1
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