569 citations · 2.6k across the 36 of their papers we have counts for
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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.…
Virtual brightfield and fluorescence staining for Fourier ptychography via unsupervised deep learning
Ruihai Wang, Pengming Song, Shaowei Jiang +6
Fourier ptychographic microscopy (FPM) is a computational approach geared towards creating high-resolution and large field-of-view images without mechanical scanning. To acquire co…
Super-resolved multispectral lensless microscopy via angle-tilted, wavelength-multiplexed ptychographic modulation
Pengming Song, Ruihai Wang, Jiakai Zhu +8
We report an angle-tilted, wavelength-multiplexed ptychographic modulation approach for multispectral lensless on-chip microscopy. In this approach, we illuminate the specimen with…
Autofocusing technologies for whole slide imaging and automated microscopy
Zichao Bian, Chengfei Guo, Shaowei Jiang +6
Whole slide imaging (WSI) has moved digital pathology closer to diagnostic practice in recent years. Due to the inherent tissue topography variability, accurate autofocusing remain…
Single-pixel coherent diffraction imaging
Meng Li, Liheng Bian, Guoan Zheng +5
Complex-field imaging is indispensable for numerous applications at wavelengths from X-ray to THz, with amplitude describing transmittance (or reflectivity) and phase revealing int…