Mingzhu Sun
Papers
28
Total Citations
365
H-Index
11
About
Mingzhu Sun is a pioneering researcher in robotic micromanipulation and automated cell manipulation technologies, with a focus on developing intelligent systems for precision biological procedures. Her work sits at the intersection of robotics, biomedical engineering, and cell biology, addressing critical challenges in reproductive medicine, cloning, and cellular analysis. Sun's most significant contributions include developing robotic methods for cell rotation, oocyte enucleation, and somatic cell nuclear transfer (SCNT) — procedures central to cloning and assisted reproduction. Her 2014 paper on minimum rotation force-based cell rotation, which has garnered 73 citations, established a quantitative framework for controlling oocyte orientation with minimal deformation, a foundational advancement in the field. She has further advanced automated SCNT workflows, micropipette aspiration techniques for measuring cell elasticity across populations, and robotic patch clamp systems for electrophysiological measurement. Across her body of work, Sun consistently tackles the limitations of manual cell manipulation — low repeatability, operator dependency, and poor efficiency — replacing them with precise, automated robotic alternatives. Her innovations in microfluidic integration, real-time cell detection, and dynamic fluid modeling demonstrate remarkable breadth. With over 250 cumulative citations, her research has meaningfully advanced the automation of complex microbiological procedures with implications for reproductive biotechnology and cell-based diagnostics.
Research Focus
Key Achievements
Top Papers
- 1Robotic Cell Rotation Based on the Minimum Rotation Force73 citations · 2014
- 2Robotic Batch Somatic Cell Nuclear Transfer Based on Microfluidic Groove28 citations · 2020
- 3Automatic Cell Rotation Based on Real-Time Detection and Tracking28 citations · 2021
- 4Robotic Micropipette Aspiration for Multiple Cells27 citations · 2019
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- 9Robotic Cell Rotation Based on Optimal Poking Direction15 citations · 2018
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