Jinyu Qiu

Nankai University

Papers

14

Total Citations

121

H-Index

6

About

Jinyu Qiu is an emerging researcher specializing in robotic micromanipulation, automated cell manipulation, and electrophysiology, with a particular focus on developing intelligent systems that enhance precision and reproducibility in biological experimentation. His work sits at the intersection of robotics, computer vision, and biomedical engineering, addressing critical challenges in assisted reproductive technology and neuroscience. Qiu's most impactful contributions include pioneering automatic cell rotation methods using real-time detection and tracking (28 citations), and developing robotic label-free oocyte enucleation techniques that dramatically reduce cytoplasm loss during cloned embryo preparation (23 citations). These advances hold significant promise for improving outcomes in intracytoplasmic sperm injection, somatic cell nuclear transfer, and preimplantation genetic diagnosis. His work on robotic patch clamping—automating one of neuroscience's most technically demanding procedures—has introduced innovative approaches to gigaseal formation, brain slice registration, and neuron contact detection, collectively accumulating over 30 citations across multiple studies. What distinguishes Qiu's research is its strong engineering rigor combined with direct biological relevance. By developing dynamic fluid models for micropipette aspiration and novel intracellular pressure measurement techniques, he continues pushing the boundaries of what robotic micromanipulation systems can achieve, offering researchers powerful tools that reduce operator dependency and elevate experimental precision.

Research Focus

Key Achievements

6
H-Index
14
Papers
121
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Automatic Cell Rotation Based on Real-Time Detection and Tracking
28 citations · 2021
📈 Most Prolific Year: 2024 (6 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Nankai University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago