Zhuxin Dong   

Professional Title:Distinguished Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Main positions:中南大学生物医学工程研究中心主任
Other Post:湖南省生物医学工程学会党支部书记、副理事长

MORE>
Language: 中文

Research Group

Le Chen

Name of Research Group: Nano-Bio Technology Laboratory
Description of Research Group:Biomedical engineering, the most rapidly growing of engineering disciplines from a global perspective, is now playing an irreplaceable role in the enhancement of human lifespan and its quality. At our Nano-Bio Technology Laboratory, we explore multi-disciplinary research and cutting-edge technology so that we bridge medicine and technology. Specifically, we are dedicated to achieving similar success with polypeptide sequencing to what nanopore sequencing has done to DNA so that there will be a possibility that we understand the causes of protein primary structure related diseases better and consequently come up with a solution. Moreover, solid-state nanopores have huge potential in single cell secretion detection because significant clinical biomarkers can be selective thanks to nanopore's adjustable geometry. We are also interested in utilizing electron microscopy and atomic force microscopy in various biomedical applications, such as synthetic biology and virology, to aid clinic treatment.
Team members Introduction:Le Chen, Master Student (Class 2022) in Biomedical Engineering and Technology. She graduated from Central South University with major in Biomedical Engineering. Her major courses included Signals and Systems, Digital Signal Processing and Biomedical Detection Technology,etc. During the undergraduate period, she was very active in scientific research innovation training with outstanding performance: so far Le has led and participated in national college student innovation projects respectively. She also took part in Basic Medicine Competition, Biomedical Competition and interdisciplinary competitions and won many awards. Her undergraduate thesis will focus on the development of bioinformatics algorithms in order to analyze protein sequencing empirical data. Email: lechen@csu.edu.cn Publications: A low-cost pathological image digitalization method based on 5 times magnification scanning, Quant Imaging Med Surg, 2022.
Central South University  All rights reserved  湘ICP备05005659号-1
Click:    MOBILE Version CENTRAL SOUTH UNIVERSITY English

The Last Update Time : ..