72 citations · 79 across the 3 of their papers we have counts for
4 papers
Blind deblurring for microscopic pathology images using deep learning networks
Cheng Jiang, Jun Liao, Pei Dong +6
Artificial Intelligence (AI)-powered pathology is a revolutionary step in the world of digital pathology and shows great promise to increase both diagnosis accuracy and efficiency.…
Near-field Fourier ptychography: super-resolution phase retrieval via speckle illumination
He Zhang, Shaowei Jiang, Jun Liao +4
Achieving high spatial resolution is the goal of many imaging systems. Designing a high-resolution lens with diffraction-limited performance over a large field of view remains a di…
Axially-shifted pattern illumination for macroscale turbidity suppression and virtual volumetric confocal imaging without axial scanning
Shaowei Jiang, Jun Liao, Zichao Bian +4
Structured illumination has been widely used for optical sectioning and 3D surface recovery. In a typical implementation, multiple images under non-uniform pattern illumination are…
Solving Fourier ptychographic imaging problems via neural network modeling and TensorFlow
Shaowei Jiang, Kaikai Guo, Jun Liao +1
Fourier ptychography is a recently developed imaging approach for large field-of-view and high-resolution microscopy. Here we model the Fourier ptychographic forward imaging proces…