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Shangquan Wu

Researcher at University of Science and Technology of China

Publications -  43
Citations -  628

Shangquan Wu is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 12, co-authored 35 publications receiving 350 citations.

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Label-free aptamer-based detection of microcystin-LR using a microcantilever array biosensor

TL;DR: In this paper, an aptamer-based microcantilever array sensor was developed to detect microcystin-leucine-arginine (MC-LR), one of the most concerned liver toxin.
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Aptamer-based microcantilever-array biosensor for profenofos detection.

TL;DR: An aptamer-based microcantilever-array sensor operated in stress mode to detect profenofos, with advantages of being a label-free, highly sensitive, one-step immobilization method capable of quantitative and real-time detection.
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Quantification of cell viability and rapid screening anti-cancer drug utilizing nanomechanical fluctuation.

TL;DR: The experimental results suggest that paclitaxel has little effect on biological viability, but has a significant effect on mechanical viability, and this new method provides a new concept and strategy for the evaluation of cell viability and the screening of anti-cancer drugs.
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Full-field wrist pulse signal acquisition and analysis by 3D Digital Image Correlation

TL;DR: A five dimensional pulse signal acquisition system adopting a non-contacting optical metrology method, 3D digital image correlation, to record the full-field displacements of skin fluctuations under different pressures and provides a novel optical approach for digitalizing pulse diagnosis and massive pulse signal data acquisition for various types of patients.
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Interpolation bias for the inverse compositional Gauss–Newton algorithm in digital image correlation

TL;DR: In this paper, a theoretical model is built to analytically characterize the dependence of interpolation bias upon speckle image, target image interpolation, and reference image gradient estimation.