近日，哈尔滨工业大学的李浩宇及其研究小组与北京大学的陈良怡以及南开大学的潘雷霆等人合作并取得一项新进展。经过不懈努力，他们通过滚动傅立叶环相关方法定量映射超分辨显微镜的局部质量。相关研究成果已于2023年12月14日在《光：科学与应用》上发表。

该研究团队开发了一种滚动傅立叶环相关（rFRC）方法，用于评估低至超分辨率（SR）尺度的重建不确定性。为了在视觉上精确定位可靠性较低的区域，研究人员将过滤后的rFRC与改进的分辨率尺度误差图（RSM）相结合，为进一步研究提供全面而简洁的映射。研究人员展示了它们在各种SR成像模式上的性能，所得到的定量映射可以从不同的重建中集成更好的SR图像。总的来说，研究人员期望他们的框架可以成为生物学家评估其图像数据集的常规工具，并在快速发展的计算成像领域激发进一步的进步。

据悉，在荧光显微镜中，计算算法已经取得了长足的进展，能够抑制噪声、增强对比度，甚至实现超分辨率（SR）。然而，图像的局部质量可能在多个尺度上存在差异，这些差异可能导致错误的认知。目前，现有的映射方法在估计局部质量方面表现不佳，难以将SR尺度内容关联起来。

附：英文原文

Title: Quantitatively mapping local quality of super-resolution microscopy by rolling Fourier ring correlation

Author: Zhao, Weisong, Huang, Xiaoshuai, Yang, Jianyu, Qu, Liying, Qiu, Guohua, Zhao, Yue, Wang, Xinwei, Su, Deer, Ding, Xumin, Mao, Heng, Jiu, Yaming, Hu, Ying, Tan, Jiubin, Zhao, Shiqun, Pan, Leiting, Chen, Liangyi, Li, Haoyu

Issue&Volume: 2023-12-14

Abstract: In fluorescence microscopy, computational algorithms have been developed to suppress noise, enhance contrast, and even enable super-resolution (SR). However, the local quality of the images may vary on multiple scales, and these differences can lead to misconceptions. Current mapping methods fail to finely estimate the local quality, challenging to associate the SR scale content. Here, we develop a rolling Fourier ring correlation (rFRC) method to evaluate the reconstruction uncertainties down to SR scale. To visually pinpoint regions with low reliability, a filtered rFRC is combined with a modified resolution-scaled error map (RSM), offering a comprehensive and concise map for further examination. We demonstrate their performances on various SR imaging modalities, and the resulting quantitative maps enable better SR images integrated from different reconstructions. Overall, we expect that our framework can become a routinely used tool for biologists in assessing their image datasets in general and inspire further advances in the rapidly developing field of computational imaging.

DOI: 10.1038/s41377-023-01321-0

Source: https://www.nature.com/articles/s41377-023-01321-0