Tongzhou Wang

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A deep ultraviolet-visible (DUV-Vis) reflected optical fiber sensor was developed for use in a simple spectrophotometric detection system to detect the absorption of various illegal drugs at wavelengths between 180 and 800 nm. Quantitative analyses performed using the sensor revealed a high specificity and sensitivity for drug detection at a wavelength of(More)
Multiplexed analysis allows researchers to obtain high-density information with minimal assay time, sample volume and cost. Currently, microcarrier or particle-based approaches for multiplexed analysis involve complicated or expensive encoding and decoding processes. In this paper, a novel optical encoding technique based on nano-silicon dioxide film is(More)
A novel label-free method based on breathing-induced vapor condensation was developed for detection of genetic point mutation. The dew-inspired detection was realized by integration of target-induced DNA ligation with rolling circle amplification (RCA). The vapor condensation induced by breathing transduced the RCA-amplified variances in DNA contents into(More)
A portable UV (190-400 nm) spectrophotometric based reflected fiber optic sensor system is presented for the on-site detection and identification of explosives. A reflected fiber optic sensor for explosives analysis was developed, with low sample consumption (20-100 nL) and a wide concentration quantification range (1.1-250 mg L(-1)). Seven common(More)
A sensitive and high resolution small animal in vivo imaging system using upconversion nanoparticles (UNPs) and microarrays was developed. The fluorescence tomography using UNPs could achieve higher precision than that using ordinary fluorophores, which was theoretically explained by the finite element method (FEM). Given the autofluorescence-insensitive(More)
This work presents a visualization method for the high-throughput monitoring of antibody-polypeptide binding by integrating a microarray chip with surface plasmon resonance imaging (SPRi). A prism-coupled SPRi system with smart images processing software and a 5 × 5 polypeptide microarray was developed. The modeling analysis was performed to optimize the(More)
This paper aims at presenting a method to lower the power consumption of the wireless home sensory and controlling systems. To realize it, we put forward a new network layer called “Pithur”, which is based on IEEE 802.15.4 and can extend the battery life to 7~9 times than that of a Zigbee network, at the cost of lower performance and longer(More)
We present a machine learning algorithm that takes as input a 2D RGB image and synthesizes a 4D RGBD light field (color and depth of the scene in each ray direction). For training, we introduce the largest public light field dataset, consisting of over 3300 plenoptic camera light fields of scenes containing flowers and plants. Our synthesis pipeline(More)
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