4 citations · 6 across the 4 of their papers we have counts for
4 papers
Coordinate-conditioned Deconvolution for Scalable Spatially Varying High-Throughput Imaging
Qianwan Yang, Zhixiong Chen, Jiaqi Zhang +3
Wide-field fluorescence microscopy with compact optics often suffers from spatially varying blur due to field-dependent aberrations, vignetting, and sensor truncation, while finite…
Wide-Field, High-Resolution Reconstruction in Computational Multi-Aperture Miniscope Using a Fourier Neural Network
Qianwan Yang, Ruipeng Guo, Guorong Hu +3
Traditional fluorescence microscopy is constrained by inherent trade-offs among resolution, field-of-view, and system complexity. To navigate these challenges, we introduce a simpl…
EventLFM: Event Camera integrated Fourier Light Field Microscopy for Ultrafast 3D imaging
Ruipeng Guo, Qianwan Yang, Andrew S. Chang +5
Ultrafast 3D imaging is indispensable for visualizing complex and dynamic biological processes. Conventional scanning-based techniques necessitate an inherent trade-off between acq…
Local Conditional Neural Fields for Versatile and Generalizable Large-Scale Reconstructions in Computational Imaging
Hao Wang, Jiabei Zhu, Yunzhe Li +2
Deep learning has transformed computational imaging, but traditional pixel-based representations limit their ability to capture continuous, multiscale details of objects. Here we i…