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 t...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.展开更多
White matter hyperintensities(WMHs)on fluid-attenuated inversion recovery(FLAIR)images are imaging features in various neurological diseases and essential markers for clinical impairment and disease progression.WMHs a...White matter hyperintensities(WMHs)on fluid-attenuated inversion recovery(FLAIR)images are imaging features in various neurological diseases and essential markers for clinical impairment and disease progression.WMHs are associated with brain aging and pathological changes in the human brain,such as in Alzheimer’s disease(AD)[1],Parkinson’s disease(PD)[2],cerebral small vessel disease(SVD)[3],multiple sclerosis(MS)[4].展开更多
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.)+4 种基金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。
文摘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.
基金supported by the Fundamental Research Funds for the Central Universities(2022CX1100)the Beijing Municipal Natural Science Foundation(JQ20035)+1 种基金the National Natural Science Foundation of China(81870958 and 81571631)the Special Fund of the Pediatric Medical Coordinated Development Center of Beijing Hospitals Authority(XTYB201831)。
文摘White matter hyperintensities(WMHs)on fluid-attenuated inversion recovery(FLAIR)images are imaging features in various neurological diseases and essential markers for clinical impairment and disease progression.WMHs are associated with brain aging and pathological changes in the human brain,such as in Alzheimer’s disease(AD)[1],Parkinson’s disease(PD)[2],cerebral small vessel disease(SVD)[3],multiple sclerosis(MS)[4].
