5 citations · 9 across the 6 of their papers we have counts for
6 papers
Artificial Intelligence Enhanced Digital Nucleic Acid Amplification Testing for Precision Medicine and Molecular Diagnostics
Yuanyuan Wei, Xianxian Liu, Changran Xu +4
The precise quantification of nucleic acids is pivotal in molecular biology, underscored by the rising prominence of nucleic acid amplification tests (NAAT) in diagnosing infectiou…
SAM-dPCR: Real-Time and High-throughput Absolute Quantification of Biological Samples Using Zero-Shot Segment Anything Model
Yuanyuan Wei, Shanhang Luo, Changran Xu +8
Digital PCR (dPCR) has revolutionized nucleic acid diagnostics by enabling absolute quantification of rare mutations and target sequences. However, current detection methodologies…
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…
Deep Learning Approach for Large-Scale, Real-Time Quantification of Green Fluorescent Protein-Labeled Biological Samples in Microreactors
Yuanyuan Wei, Sai Mu Dalike Abaxi, Nawaz Mehmood +7
Absolute quantification of biological samples entails determining expression levels in precise numerical copies, offering enhanced accuracy and superior performance for rare templa…
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…
Targeted Sub-attomole Cancer Biomarker Detection based on Phase Singularity 2D Nanomaterial-enhanced Plasmonic Biosensor
Yuye Wang, Shuwen Zeng, Aurelian Crunteanu +11
Detection of small cancer biomarkers with low molecular weight and a low concentration range has always been challenging yet urgent in many clinical applications such as diagnosing…