131 citations · 489 across the 9 of their papers we have counts for
13 papers
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…
OpenWSI: a low-cost, high-throughput whole slide imaging system via single-frame autofocusing and open-source hardware
Chengfei Guo, Zichao Bian, Shaowei Jiang +7
Recent advancements in whole slide imaging (WSI) have moved pathology closer to digital practice. Existing systems require precise mechanical control and the cost is prohibitive fo…
Wide-field, high-resolution lensless on-chip microscopy via near-field blind ptychographic modulation
Shaowei Jiang, Jiakai Zhu, Pengming Song +7
We report a novel lensless on-chip microscopy platform based on near-field blind ptychographic modulation. In this platform, we place a thin diffuser in between the object and the…
Ptychographic modulation engine (PME): a low-cost DIY microscope add-on for coherent super-resolution imaging
Zichao Bian, Shaowei Jiang, Pengming Song +4
Imaging of biological cells and tissues often relies on fluorescent labels, which offer high contrast with molecular specificity. The use of exogenous labeling agents, however, may…