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Matrix-based imaging through dynamic scattering

delete2025-10-24
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OA
AI
E
Elad Sunray
G
Gil Weinberg
B
Benzy Laufer
O
Ori Katz *
DOI：10.1038/s41467-025-64422-xdelete
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摘要

摘要

En 中文
无创光学成像通过复杂散射介质在多个领域均构成重大挑战。当前先进技术，如反射矩阵分解和神经网络，依赖于在样品去相关时间内进行多次具有不同照明的测量，使其在快速变化的动态介质中的应用面临挑战。本文表明，由于卷积运算的交换性，等晕成像中的动态散射在数学上与静态介质中的变化照明具有类比性。这一见解使得能够利用为静态散射开发的基于矩阵的方法应用于快速变化的动态介质。具体而言，我们展示了通过动态散射样品捕获的一组散射光相机帧的协方差矩阵与静态介质的反射矩阵具有相同的数学形式，其中目标物体扮演散射介质的角色。我们通过多种模式（从非相干荧光显微镜到相干门控全息反射成像）的高分辨率衍射极限成像演示了这一概念。基于矩阵的成像方法通过利用与静态介质的数学等价性，实现了通过动态散射的高分辨率成像，使先进方法能够在相干和非相干设置中从少数帧中恢复图像。
Keyword:
Matrix-based imaging
Dynamic scattering
Optical imaging
Scattering media
Covariance matrix
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期刊

Nature Communications 封面图
Nature Communications
IF:
15.7
论文数:
9.3W
被引数:
91.2W

机构

T
The Hebrew University of Jerusalem
学者数:
1.3K
论文数: 503
被引数: 1
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