Suppr超能文献

通过亚像素采样和计算重建提高分辨率。

Resolution enhancement by subpixel sampling and computational reconstruction.

作者信息

Brewer Jonathan, Almasian Milad, Saberigarakani Alireza, Zhang Xinyuan, Shi Fenghua, Ding Yichen

出版信息

Opt Lett. 2025 Apr 1;50(7):2457-2460. doi: 10.1364/OL.557741.

Abstract

Image resolution and field of view in far-field optical microscopy are often inversely proportional to one another due to digital sampling limitations imposed by the magnification of the system and the pixel size of the sensor. We present a method including a spatial shifting mechanism and a reconstruction algorithm that bypasses this trade-off by shifting the sample to be imaged by subpixel increments, before registering the images via phase correlation and combining the resulting registered images using the shift-and-add approach. Importantly, this method requires no specific optical components that are uncommon to commercially available or custom-built microscope systems. The findings of the presented study demonstrate an improvement to spatial resolution of ∼42% while maintaining the system's field of view (FOV), leading to a more than twofold improvement to the system's space-bandwidth product (SBP).

摘要

由于系统放大倍数和传感器像素大小所带来的数字采样限制,远场光学显微镜中的图像分辨率和视场通常成反比。我们提出了一种方法,该方法包括空间移位机制和重建算法,通过以亚像素增量移动待成像样本,在通过相位相关配准图像并使用移位相加方法组合所得配准图像之前,绕过这种权衡。重要的是,该方法不需要市售或定制显微镜系统中不常见的特定光学组件。本研究结果表明,在保持系统视场(FOV)的同时,空间分辨率提高了约42%,使系统的空间带宽积(SBP)提高了两倍多。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验