计算机科学
计算机视觉
显微镜
移动设备
人工智能
模块化设计
分辨率(逻辑)
限制
计算摄影
图像分辨率
相(物质)
视野
计算机图形学(图像)
图像处理
医学影像学
高分辨率
领域(数学)
可视化
光学
相位成像
超分辨率
显微镜
生物医学工程
成像技术
影像学
图像传感器
图像(数学)
图像质量
作者
Kun Huang,Shuo Ma,Guancheng Huang,Ziyang Li,Longhui Fu,Ming Sun,Yong Shuai,Shutian Liu,Zhengjun Liu,Yutong Li
摘要
ABSTRACT High‐performance benchtop microscopes are traditionally tethered to costly and cumbersome hardware, with complex illumination and multi‐lens optics, limiting applications beyond laboratories, especially in resource‐limited or field settings, thereby motivating portable alternatives. A handheld smartphone microscope is presented, featuring a compact, single‐lens system that integrates a sparse multi‐annular illumination strategy based on Kramers‐Kronig relations (sAIKK). This computational framework efficiently achieves fourfold synthetic‐aperture quantitative phase imaging (QPI), facilitated by matched illumination implemented on the smartphone without mechanical hardware, thereby harnessing their complementary strengths. Imaging performance is validated on the resolution target, achieving a resolution of 691 nm from four images and reaching an enhanced resolution of 345 nm (synthetic NA of 0.92) by incorporating two sparse annular illumination. The diagnostic and research capabilities are demonstrated by performing QPI on an unstained cross‐section of the gastric fundus, conducting morphometric analysis and screening of malaria‐infected blood smears, and generating a color image of a pine stem. Leveraging the synergy of modular hardware and computational framework, this do‐it‐yourself, cost‐effective platform provides an accessible alternative to high‐end microscopes and holds significant potential for rapid on‐site diagnostics and scientific education.
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