Multi-angle illumination is a widely adopted strategy in various super-resolution imaging systems,where improving computational efficiency and signal-to-noise ratio(SNR)remains a critical challenge.In this study,we pr...Multi-angle illumination is a widely adopted strategy in various super-resolution imaging systems,where improving computational efficiency and signal-to-noise ratio(SNR)remains a critical challenge.In this study,we propose the integration of the iterative kernel correction(IKC)algorithm with a multi-angle(MA)illumination scheme to enhance imaging reconstruction efficiency and SNR.The proposed IKC-MA scheme demonstrates the capability to significantly reduce image acquisition time while achieving high-quality reconstruction within 1 s,without relying on extensive experimental datasets.This ensures broad applicability across diverse imaging scenarios.Experimental results indicate substantial improvements in imaging speed and quality compared to conventional methods,with the IKC-MA model achieving a remarkable reduction in data acquisition time.This approach offers a faster and more generalizable solution for super-resolution microscopic imaging,paving the way for advancements in real-time imaging applications.展开更多
基金National Key Research and Development Program of China(2022YFF0712500,2022YFC3401100)Guangdong Major Project of Basic and Applied Basic Research(2020B0301030009)+5 种基金National Natural Science Foundation of China(62375144,61875092,12204017,12004012,12004013,12041602,91750203,91850111,92150301)Beijing-Tianjin-Hebei Basic Research Cooperation Special Program(19JCZDJC65300)China Postdoctoral Science Foundation(2020M680220,2020M680230)Clinical Medicine Plus X-Young Scholars Project,Peking UniversityFundamental Research Funds for the Central UniversitiesHigh-performance Computing Platform of Peking University。
文摘Multi-angle illumination is a widely adopted strategy in various super-resolution imaging systems,where improving computational efficiency and signal-to-noise ratio(SNR)remains a critical challenge.In this study,we propose the integration of the iterative kernel correction(IKC)algorithm with a multi-angle(MA)illumination scheme to enhance imaging reconstruction efficiency and SNR.The proposed IKC-MA scheme demonstrates the capability to significantly reduce image acquisition time while achieving high-quality reconstruction within 1 s,without relying on extensive experimental datasets.This ensures broad applicability across diverse imaging scenarios.Experimental results indicate substantial improvements in imaging speed and quality compared to conventional methods,with the IKC-MA model achieving a remarkable reduction in data acquisition time.This approach offers a faster and more generalizable solution for super-resolution microscopic imaging,paving the way for advancements in real-time imaging applications.
