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Feihao Sun on Muck Rack

Feihao Sun

As seen in: Nature
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Articles

Leveraging spatial-angular redundancy for self-supervised denoising of 3D fluorescence imaging without temporal dependency - Nature Communications

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By Zhi Lu, Feihao Sun, Jiaqi Fan, Xinyang Li, Zhenqi Fu, Manchang Jin, Jiamin Wu
| Nature Verified
Abstract Photon noise is one of the fundamental limits in fluorescence imaging. Despite broad applications, existing self-supervised denoising methods rely on either temporal redundancy or spatial redundancy, leading to degradation in either temporal resolution or spatial resolution, especially for 3D imaging.
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Physics-driven self-supervised learning for fast high-resolution robust 3D reconstruction of light-field microscopy - Nature Methods

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By Zhi Lu, Manchang Jin, Feihao Sun, Jiamin Wu, Jingyu Yang
| Nature Verified
Abstract Light-field microscopy (LFM) and its variants have significantly advanced intravital high-speed 3D imaging. However, their practical applications remain limited due to trade-offs among processing speed, fidelity, and generalization in existing reconstruction methods. Here we propose a physics-driven self-supervised reconstruction network (SeReNet) for unscanned LFM and scanning LFM (sLFM) to achieve near-diffraction-limited resolution at millisecond-level processing speed.
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