G
Gwo-Bin Lee
Researcher at National Tsing Hua University
Publications - 560
Citations - 16471
Gwo-Bin Lee is an academic researcher from National Tsing Hua University. The author has contributed to research in topics: Aptamer & Dielectrophoresis. The author has an hindex of 64, co-authored 549 publications receiving 14563 citations. Previous affiliations of Gwo-Bin Lee include National Cheng Kung University & National Chiao Tung University.
Papers
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Journal ArticleDOI
An integrated microfluidic platform for rapid detection and subtyping of influenza viruses from clinical samples
TL;DR: In this paper, an integrated microfluidic system that performs sample pretreatment, nucleic acid amplification, and optical detection for molecular diagnosis of influenza viruses was developed, which automatically performed the rapid diagnosis and subtyping of the influenza viruses.
Journal ArticleDOI
A Comprehensive Model for Whole Cell Sensing and Transmembrane Potential Measurement Using FET Biosensors
Anil Kumar Pulikkathodi,Indu Sarangadharan,Yi Hong Chen,Geng Yen Lee,Jen-Inn Chyi,Gwo-Bin Lee,Yu-Lin Wang +6 more
Journal ArticleDOI
Visible light induced electropolymerization of suspended hydrogel bioscaffolds in a microfluidic chip.
TL;DR: Cell co-culture experiments showed the effective regulation of cell spreading by hydrogel scaffolds fabricated by the new method presented here, which may provide new prospects for designing cell-based units for advanced biomedical studies, e.g., for 3D bio-models or bio-actuators in the future.
Proceedings ArticleDOI
Integrated Microfluidic Systems for DNA Analysis
TL;DR: This novel integrated microfluidic device, which facilitates cell analysis, sample driving/mixing, and DNA amplification, could make a promising contribution to the continuing efforts aimed at miniaturizing bio-analysis systems
Journal ArticleDOI
Rapid assembly of gold nanoparticle-based microstructures using optically-induced electrokinetics
TL;DR: In this paper, a rapid approach for assembling gold nano-particles (AuNPs)-based microstructures using optically-induced electrokinetics was presented, and the experimental results were also analyzed by counting the number of deposited AuNPs in a microstructure using an image processing algorithm.