About

Wen-Fei Dong is a pioneering researcher in bioinspired sensors and intelligent microfluidics, with a focus on mechano-sensation and single-cell analysis. His most impactful work introduces an all-optical multidirectional mechano-sensor inspired by biological mechano-sensitive hair sensilla, achieving 29 citations since 2024. This innovation overcomes the limitations of traditional iontronic or electronic biomimetic sensors by leveraging a fully optical design, enabling precise detection of multidirectional mechanical signals without electrical interference—a breakthrough for soft robotics and biomedical sensing. Dong also advances single-cell manipulation through an intelligent system combining large language models (LLMs) and object detection with active-matrix digital microfluidics, reducing human intervention and cost while enhancing throughput. Additionally, he developed an automated nucleic acid extraction system using high-intensity focused ultrasound for formalin-fixed paraffin-embedded samples, streamlining molecular diagnostics. With a growing citation record, Dong’s work bridges biology, optics, and AI, offering transformative tools for mechanobiology, cellular heterogeneity studies, and clinical sample processing. His interdisciplinary approach positions him as a rising leader in bioinspired engineering and lab-on-a-chip technologies.

Research Focus

Key Achievements

3
H-Index
3
Papers
39
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
An all-optical multidirectional mechano-sensor inspired by biologically mechano-sensitive hair sensilla
29 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: Chinese Academy of Sciences, Changchun University of Science and Technology, University of Science and Technology of China

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago