44 citations · 83 across the 5 of their papers we have counts for
5 papers
Auto-ICell: An Accessible and Cost-Effective Integrative Droplet Microfluidic System for Real-Time Single-Cell Morphological and Apoptotic Analysis
Yuanyuan Wei, Meiai Lin, Shanhang Luo +7
The Auto-ICell system, a novel, and cost-effective integrated droplet microfluidic system, is introduced for real-time analysis of single-cell morphology and apoptosis. This system…
Lab-in-a-Tube: A portable imaging spectrophotometer for cost-effective, high-throughput, and label-free analysis of centrifugation processes
Yuanyuan Wei, Dehua Hu, Bijie Bai +7
Centrifuges serve as essential instruments in modern experimental sciences, facilitating a wide range of routine sample processing tasks that necessitate material sedimentation. Ho…
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
Virtual stain transfer in histology via cascaded deep neural networks
Xilin Yang, Bijie Bai, Yijie Zhang +4
Pathological diagnosis relies on the visual inspection of histologically stained thin tissue specimens, where different types of stains are applied to bring contrast to and highlig…
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks
Yijie Zhang, Luzhe Huang, Tairan Liu +5
Deep learning-based virtual staining was developed to introduce image contrast to label-free tissue sections, digitally matching the histological staining, which is time-consuming,…