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- 저자 : Minghai Zhang (검색결과 3 건)
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Differentiation potential of neural stem cells derived from fetal sheep
Qian Li,Minghai Zhang,Wei Jun Guan,Shuang Zhang,Yanjie Zheng,Hebao Wen,Xiao Han 한국통합생물학회 2017 Animal cells and systems Vol.21 No.4
Neural stem cells (NSCs) are multipotent stem cells that can differentiate into many cell types in vitro. In this study, we isolated and established an NSC line from fetal Ovis aries. Based on the results of immunofluorescence staining, NSCs expressed Nestin, Pax6 and MAP2. Moreover, a reverse transcription–polymerase chain reaction assay was used to biologically characterize the cell line. NSCs were induced to differentiate into neurogenic cells in vitro. They expressed MAP2, glial fibrillary acidic protein (GFAP) and myelin basic protein (MBP). In this study, we successfully isolated and cultivated NSCs from the hippocampal tissue of fetal sheep. NSCs not only displayed a self-renewal capacity but also had the potential to differentiate into neurons and glial cells. This study provided valuable experimental data for NSC transplant research.
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Effect of CBN surface coating on properties of abrasive and vitrified CBN composites
Xuezhi Wang,Minghai Wang,Jingqiang Zhang,Wenbo Fan,Tianbiao Yu 한양대학교 청정에너지연구소 2023 Journal of Ceramic Processing Research Vol.24 No.1
The advantages of CBN abrasive and vitrified bonds allow the wide use of vitrified CBN grinding tools. However, theirproperties can be affected by various factors such as vitrification itself and binding between vitrified bond and abrasive grains. In view of this, the current work aims to improve the binding characteristics of vitrified bond and abrasive grains byelucidating the effect of CBN surface coating. In particular, the thermal properties of typical nickel and titanium coatedabrasive grains were compared with those of ordinary abrasive grains. Furthermore, the strength, microstructure and phasecomposition of vitrified CBN composites were studied as well. According to the results, the thermal stability of abrasive grainsdecreased after coating processing. However, applying the vitrified CBN composite material and sintering, if appropriable, wasshown to ensure protection of the abrasive grains. Moreover, as an intermediate transition layer, the bonding properties ofvitrified bond and abrasive grains can be improved to some extent. Finally, the vitrified Ti-coated CBN composite was foundto possess the best performance.
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Deep Learning: High-quality Imaging through Multicore Fiber
Liqing Wu,Jun Zhao,Minghai Zhang,Yanzhu Zhang,Xiaoyan Wang,Ziyang Chen,Jixiong Pu 한국광학회 2020 Current Optics and Photonics Vol.4 No.4
Imaging through multicore fiber (MCF) is of great significance in the biomedical domain. Although several techniques have been developed to image an object from a signal passing through MCF, these methods are strongly dependent on the surroundings, such as vibration and the temperature fluctuation of the fiber’s environment. In this paper, we apply a new, strong technique called deep learning to reconstruct the phase image through a MCF in which each core is multimode. To evaluate the network, we employ the binary cross-entropy as the loss function of a convolutional neural network (CNN) with improved U-net structure. The high-quality reconstruction of input objects upon spatial light modulation (SLM) can be realized from the speckle patterns of intensity that contain the information about the objects. Moreover, we study the effect of MCF length on image recovery. It is shown that the shorter the fiber, the better the imaging quality. Based on our findings, MCF may have applications in fields such as endoscopic imaging and optical communication.
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