Author

Run Wang

Tsinghua UniversityORCID 0000-0001-5570-6391Unclaimed ORCID profile · follow to get notified of new preprints

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Run Wang1 paper · Peking University

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Bioengineering· 1

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Research Focus:deconvolution· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Chang Fu QiaoiD· 1 shared Dong LiiD· 1 shared Haoyu Chen· 1 shared Tao JiangiD· 1 shared Yuwang WangiD· 1 shared

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2024-2024 · peak 1/yr

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1 shared paperBioengineering

Chang Fu QiaoORCID

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1 paper

Recent·Most cited

BioengineeringPhotonics ResearchPeer-reviewedJan 3, 2024

Deep Learning-based Optical Aberration Estimation Enables Offline Digital Adaptive Optics and Super-resolution Imaging

Chang Fu Qiao, Haoyu Chen, Run Wang…·Dong Li

This paper introduces SFE-Net and SFT-DFCAN to estimate and correct optical aberrations in live-cell imaging without additional hardware, achieving fast and accurate super-resolution.

39 citationstop 4%

imagingfluorescence / live-cell microscopy

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