676 citations · 1.8k across the 18 of their papers we have counts for
6 papers · 1 filter
Cross-modality deep learning brings bright-field microscopy contrast to holography
Yichen Wu, Yilin Luo, Gunvant Chaudhari +4
Deep learning brings bright-field microscopy contrast to holographic images of a sample volume, bridging the volumetric imaging capability of holography with the speckle- and artif…
Deep learning enables high-throughput analysis of particle-aggregation-based bio-sensors imaged using holography
Yichen Wu, Aniruddha Ray, Qingshan Wei +5
Aggregation-based assays, using micro- and nano-particles have been widely accepted as an efficient and cost-effective bio-sensing tool, particularly in microbiology, where particl…
Accurate color imaging of pathology slides using holography and absorbance spectrum estimation of histochemical stains
Yibo Zhang, Tairan Liu, Yujia Huang +6
Holographic microscopy presents challenges for color reproduction due to the usage of narrow-band illumination sources, which especially impacts the imaging of stained pathology sl…
Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue
Yair Rivenson, Hongda Wang, Zhensong Wei +3
Histological analysis of tissue samples is one of the most widely used methods for disease diagnosis. After taking a sample from a patient, it goes through a lengthy and laborious…
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery
Yichen Wu, Yair Rivenson, Yibo Zhang +4
Holography encodes the three dimensional (3D) information of a sample in the form of an intensity-only recording. However, to decode the original sample image from its hologram(s),…
Spatial mapping and analysis of aerosols during a forest fire using computational mobile microscopy
Yichen Wu, Ashutosh Shiledar, Yi Luo +6
Forest fires are a major source of particulate matter (PM) air pollution on a global scale. The composition and impact of PM are typically studied using only laboratory instruments…