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

查看全文 作　　者：Weisong [1,2]Zhao;Xiaoshuai [3]Huang;Jianyu [4]Yang;Liying [1]Qu;Guohua [5]Qiu;Yue [6]Zhao;Xinwei [1]Wang;Deer [1]Su;Xumin [1]Ding;Heng [7]Mao;Yaming [8]Jiu;Ying [9]Hu;Jiubin [2]Tan;Shiqun [5]Zhao;Leiting [4]Pan;Liangyi [5,10,11]Chen;Haoyu [1,2,12,13]Li 高影响力作者 机构地区：[1]Innovation Photonics and Imaging Center,School of Instrumentation Science and Engineering,Harbin Institute of Technology,Harbin,China;[2]Key Laboratory of Ultra-Precision Intelligent Instrumentation of Ministry of Industry and Information Technology,Harbin Institute of Technology,Harbin,China;[3]Biomedical Engineering Department,International Cancer Institute,Peking University Cancer Hospital and Institute,Health Science Center,Peking University,Beijing,China;[4]The Key Laboratory of Weak-Light Nonlinear Photonics of Education Ministry,School of Physics and TEDA Institute of Applied Physics,Frontiers Science Center for Cell Responses,Nankai University,Tianjin,China;[5]State Key Laboratory of Membrane Biology,Beijing Key Laboratory of Cardiometabolic Molecular Medicine,Institute of Molecular Medicine,National Biomedical Imaging Center,School of Future Technology,Peking University,Beijing,China;[6]Department of Control Science and Engineering,Harbin Institute of Technology,Harbin,China;[7]School of Mathematical Sciences,Peking University,Beijing,China;[8]Unit of Cell Biology and Imaging Study of Pathogen Host Interaction,The Center for Microbes,Development and Health,Key Laboratory of Molecular Virology and Immunology,Shanghai Institute of Immunity and Infection,Chinese Academy of Sciences,Shanghai,China;[9]School of Life Science and Technology,Harbin Institute of Technology,Harbin,China;[10]PKU-IDG/McGovern Institute for Brain Research,Beijing,China;[11]Beijing Academy of Artificial Intelligence,Beijing,China;[12]Frontiers Science Center for Matter Behave in Space Environment,Harbin Institute of Technology,Harbin,China;[13]Key Laboratory of Micro-Systems and Micro-Structures Manufacturing of Ministry of Education,Harbin Institute of Technology,Harbin,China高影响力机构 出　　处：《Light(Science & Applications)》索引2023年第12卷第12期,共19页高影响力期刊 基　　金：supported by the National Natural Science Foundation of China(grant no.T2222009 to H.L.,grant no.32227802 to L.C.,grant no.81925022 to L.C.,grant no.92054301 to L.C.,grant no.62305083 to W.Z.,grant no.12174208 to P.L.,grant no.32301257 to S.Z.,grant no.32222022 to Y.J.,grant no.32071458 to H.M.);the National Key Research and Development Program of China(grant no.2022YFC3400600 to L.C.);the Natural Science Foundation of Heilongjiang Province(grant no.YQ2021F013 to H.L.);the Beijing Natural Science Foundation(grant no.Z20J00059 to L.C.);the Guangdong Major Project of Basic and Applied Basic Research(grant no.2020B0301030009 to P.L.);the China Postdoctoral Science Foundation(grant no.2023T160163 to W.Z.,grant no.2022M720971 to W.Z.);the Heilongjiang Provincial Postdoctoral Science Foundation(grant no.LBH-Z22027 to W.Z.).L.C.acknowledges support from the High-performance Computing Platform of Peking University。 摘　　要：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. 关 键 词：RESOLUTION LOCAL enable
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