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利用方孔突破投影成像分辨率极限分辨隐藏像素。

Resolving hidden pixels beyond the resolution limit of projection imaging by square aperture.

机构信息

Fu Foundation School of Engineering and Applied Science, Columbia University, New York, NY, 10027, USA.

Materials Science and Engineering, McMaster University, Hamilton, ON, L8S4L7, Canada.

出版信息

Sci Rep. 2023 Mar 1;13(1):3449. doi: 10.1038/s41598-023-30516-z.

Abstract

Projection imaging has been employed widely in many areas, such as x-ray radiography, due to its penetration power and ballistic geometry of their paths. However, its resolution limit remains a major challenge, caused by the conflict of source intensity and source size associated with image blurriness. A simple yet robust scheme has been proposed here to solve the problem. An unconventional square aperture, rather than the usual circular beam, is constructed, which allows for the straightforward deciphering of a blurred spot, to unravel hundreds originally hidden pixels. With numerical verification and experimental demonstration, our proposal is expected to benefit multiple disciplines, not limited to x-ray imaging.

摘要

投影成像是一种广泛应用于许多领域的技术,例如 X 射线摄影,这是因为它具有穿透能力和弹道几何路径。然而,由于与图像模糊相关的源强度和源尺寸的冲突,其分辨率限制仍然是一个主要挑战。这里提出了一种简单而强大的方案来解决这个问题。构建了一个非传统的方形孔径,而不是通常的圆形光束,这使得直接解读模糊点成为可能,从而揭示出数百个原本隐藏的像素。通过数值验证和实验演示,我们的方案有望受益于多个学科,而不仅限于 X 射线成像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8dd/9977726/3dc8afee56ab/41598_2023_30516_Fig1_HTML.jpg

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