58 citations · 61 across the 7 of their papers we have counts for
9 papers
Background2Background: a self-supervised background removal framework for high dimensional microscopy
Guangrui Ding, Haonan Lin, Rong Tang +8
High-dimensional microscopy captures features across space, time, and spectrum, but complex backgrounds obscure signals. We present Background2Background (B2B), a self-supervised b…
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…
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…
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…
Robust single-shot 3D fluorescence imaging in scattering media with a simulator-trained neural network
Jeffrey Alido, Joseph Greene, Yujia Xue +7
Imaging through scattering is a pervasive and difficult problem in many biological applications. The high background and the exponentially attenuated target signals due to scatteri…
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…