Resistive switching Ag/Ag2S nanoclusters were formed by sulphidation of melting-dispersed thin and continuous Ag films. The morphology, structure and electrical properties of the prepared clusters were characterized b...Resistive switching Ag/Ag2S nanoclusters were formed by sulphidation of melting-dispersed thin and continuous Ag films. The morphology, structure and electrical properties of the prepared clusters were characterized by scanning (SEM), transmitting electron (TEM), scanning resistance microscopes (SRM) and Raman scattering. Hysteretic resistive switching behavior was observed in the samples that were studied with ON/OFF switching voltage equal to 8 - 10 V respectively. Simple empirical numerical simulation model, based on Deal-Grove model assumptions and mechanisms, for silver nanoclusters sulphidation process, was proposed.展开更多
Analysis of cellular behavior is significant for studying cell cycle and detecting anti-cancer drugs. It is a very difficult task for image processing to isolate individual cells in confocal microscopic images of non-...Analysis of cellular behavior is significant for studying cell cycle and detecting anti-cancer drugs. It is a very difficult task for image processing to isolate individual cells in confocal microscopic images of non-stained live cell cultures. Because these images do not have adequate textural variations. Manual cell segmentation requires massive labor and is a time consuming process. This paper describes an automated cell segmentation method for localizing the cells of Chinese hamster ovary cell culture. Several kinds of high-dimensional feature descriptors, K-means clustering method and Chan-Vese model-based level set are used to extract the cellular regions. The region extracted are used to classify phases in cell cycle. The segmentation results were experimentally assessed. As a result, the proposed method proved to be significant for cell isolation. In the evaluation experiments, we constructed a database of Chinese Hamster Ovary Cell’s microscopic images which includes various photographing environments under the guidance of a biologist.展开更多
Recent numerical simulations have indicated that integrin clustering during cell- substrate adhesion can be driven by the presence of a repulsive layer between the cell membrane and the substrate （Paszek et al., PLoS...Recent numerical simulations have indicated that integrin clustering during cell- substrate adhesion can be driven by the presence of a repulsive layer between the cell membrane and the substrate （Paszek et al., PLoS Comput Biol 5：12, 2009）. Here we present a simple me- chanics model of this phenomenon in which the attraction between integrins is mediated by the long-range elastic deformation of the membrane and the repulsive layer. We obtain analytical solutions to the problem by employing the small deformation theory of an infinitely extended plate resting on an elastic foundation.展开更多
文摘Resistive switching Ag/Ag2S nanoclusters were formed by sulphidation of melting-dispersed thin and continuous Ag films. The morphology, structure and electrical properties of the prepared clusters were characterized by scanning (SEM), transmitting electron (TEM), scanning resistance microscopes (SRM) and Raman scattering. Hysteretic resistive switching behavior was observed in the samples that were studied with ON/OFF switching voltage equal to 8 - 10 V respectively. Simple empirical numerical simulation model, based on Deal-Grove model assumptions and mechanisms, for silver nanoclusters sulphidation process, was proposed.
基金supported by the Science and Technology Program of Beijing Municipal Education Commission(KM201611417009)the Project of Beijing Municipal Natural Science Foundation(4142018)the Importation and Development of High-Caliber Talents Project of Beijing Municipal Institutions(CIT&TCD20150314)
文摘Analysis of cellular behavior is significant for studying cell cycle and detecting anti-cancer drugs. It is a very difficult task for image processing to isolate individual cells in confocal microscopic images of non-stained live cell cultures. Because these images do not have adequate textural variations. Manual cell segmentation requires massive labor and is a time consuming process. This paper describes an automated cell segmentation method for localizing the cells of Chinese hamster ovary cell culture. Several kinds of high-dimensional feature descriptors, K-means clustering method and Chan-Vese model-based level set are used to extract the cellular regions. The region extracted are used to classify phases in cell cycle. The segmentation results were experimentally assessed. As a result, the proposed method proved to be significant for cell isolation. In the evaluation experiments, we constructed a database of Chinese Hamster Ovary Cell’s microscopic images which includes various photographing environments under the guidance of a biologist.
基金supported by the Rhode Island Consortium for Nanoscience and Nanotechnologyby the National Science Foundation (Grant No. CMMI-1028530)
文摘Recent numerical simulations have indicated that integrin clustering during cell- substrate adhesion can be driven by the presence of a repulsive layer between the cell membrane and the substrate （Paszek et al., PLoS Comput Biol 5：12, 2009）. Here we present a simple me- chanics model of this phenomenon in which the attraction between integrins is mediated by the long-range elastic deformation of the membrane and the repulsive layer. We obtain analytical solutions to the problem by employing the small deformation theory of an infinitely extended plate resting on an elastic foundation.
