58 citations · 61 across the 7 of their papers we have counts for
6 papers · 1 filter
Point Spread Function Engineering Using Implicit Neural Representations
Suet Ying Chan, Mitchell Gilmore, Qilin Deng +4
Point spread function (PSF) engineering through pupil plane modulation is a technique used in microscopy to achieve specific imaging properties, such as depth encoding or extended…
DeepFilters: Scattering-Aware Pupil Engineering with Learned Digital Filter Reconstruction for Extended Depth of Field Microscopy
Joseph L. Greene, Suet YIng Chan, Qilin Deng +8
Extended depth of field microscopy encodes axial information into a single acquisition through engineered point spread functions, but conventional and deep optics approaches are su…
Reflection-mode Multi-slice Fourier Ptychographic Tomography
Jiabei Zhu, Tongyu Li, Hao Wang +3
Diffraction tomography (DT) has been widely explored in transmission-mode configurations, enabling high-resolution, label-free 3D imaging. However, industrial metrology application…
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…
Deep-learning-augmented Computational Miniature Mesoscope
Yujia Xue, Qianwan Yang, Guorong Hu +2
Fluorescence microscopy is essential to study biological structures and dynamics. However, existing systems suffer from a tradeoff between field-of-view (FOV), resolution, and comp…