Jinglin Zhou

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Mice models are an important way to understand the relation between the fetus with cleft palate and changes of maternal biofluid. This paper aims to develop a metabonomics approach to analyze dexamethasone-induced cleft palate in pregnant C57BL/6J mice and to study the relationship between the change of endogenous small molecular metabolites in maternal(More)
Two microsporidian isolates were extracted from single infected egg-laying tussah silk moth (Antheraea pernyi) in Liaoning Province, China. The microsporidia were subsequently grown in silk moth larvae, isolated, and subjected to morphological characterization (by light and transmission electron microscopy) and phylogenetic analysis (based on conserved(More)
Zirconia is becoming a prevalent material in dentistry. However, any foreign bodies inserted may provide new niches for the bacteria in oral cavity. The object of this study was to explore the effect of surface properties including surface roughness and hydrophobicity on the adhesion and biofilm formation of Streptococcus mutans (S. mutans) to zirconia.(More)
To find the optimum threshold of an image is still an important research topic in the recent years. This paper presents a segmentation of liver cyst for ultrasound image through combining Wellner’s thresholding algorithm with particle swarm optimization (PSO). The proposed method firstly obtains an optimal parameter, which expressed as a percentage or fixed(More)
The aim of the present study was to identify time-dependent changes in the expression of metabolic biomarkers during the various stages of oral carcinogenesis to provide an insight into the sequential mechanism of oral cancer development. An 1 H nuclear magnetic resonance (NMR)-based metabolomics approach was used to analyze the blood plasma samples of(More)
The goal of this paper is to propose a modified maximally stable extremal region (MSER) based method for the segmentation of ultrasound liver images. Firstly, the feature regions including liver lesions are extracted using the modified MSER detector. Unlike the MSER algorithm, the improved MSER detector merely needs dozens of gray levels rather than 256(More)