2025年4月29日出版的《自然—方法学》杂志发表了美国加州大学Laura Waller小组的最新成果，他们提出了环形反褶积显微技术：利用对称性实现高效的空间变化像差校正。

研究组提出了一个成像管道，利用对称提供简单和快速的空间变化去模糊。他们的环形反褶积显微镜方法利用了大多数显微镜和相机的旋转对称性，并且在横向对称的情况下自然地扩展到片状反褶积。该课题组人员推导了环形反褶积显微镜的理论和算法，并提出了一种基于赛德尔像差系数的神经网络作为一种快速替代方法。与标准的反褶积和现有的空间变化去模糊相比，该课题组人员展示了在不同范围的显微镜模式下的速度和图像质量的改进，包括微型显微镜、多色荧光显微镜、多模光纤显微内窥镜和光片荧光显微镜。他们的方法可以在这些应用中实现近各向同性的亚细胞分辨率。

据了解，显微镜像差校正最普遍的形式是反褶积；然而，反卷积依赖于系统的点扩展函数在整个视场中是相同的假设。这种假设通常是不充分的，但空间变量去模糊技术通常需要不切实际的校准和计算量。

附：英文原文

Title: Ring deconvolution microscopy: exploiting symmetry for efficient spatially varying aberration correction

Author: Kohli, Amit, Angelopoulos, Anastasios N., McAllister, David, Whang, Esther, You, Sixian, Yanny, Kyrollos, Gasparoli, Federico M., Chang, Bo-Jui, Fiolka, Reto, Waller, Laura

Issue&Volume: 2025-04-29

Abstract: The most ubiquitous form of aberration correction for microscopy is deconvolution; however, deconvolution relies on the assumption that the system’s point spread function is the same across the entire field of view. This assumption is often inadequate, but space-variant deblurring techniques generally require impractical amounts of calibration and computation. We present an imaging pipeline that leverages symmetry to provide simple and fast spatially varying deblurring. Our ring deconvolution microscopy method utilizes the rotational symmetry of most microscopes and cameras, and naturally extends to sheet deconvolution in the case of lateral symmetry. We derive theory and algorithms for ring deconvolution microscopy and propose a neural network based on Seidel aberration coefficients as a fast alternative. We demonstrate improvements in speed and image quality as compared to standard deconvolution and existing spatially varying deblurring across a diverse range of microscope modalities, including miniature microscopy, multicolor fluorescence microscopy, multimode fiber micro-endoscopy and light-sheet fluorescence microscopy. Our approach enables near-isotropic, subcellular resolution in each of these applications.

DOI: 10.1038/s41592-025-02684-5

Source: https://www.nature.com/articles/s41592-025-02684-5