In this paper we first determine three phases of cell images： background, cytoplasm and nucleolus according to the general physical characteristics of cell images, and then develop a variational model, based on these...In this paper we first determine three phases of cell images： background, cytoplasm and nucleolus according to the general physical characteristics of cell images, and then develop a variational model, based on these characteristics, to segment nucleolus and cytoplasm from their relatively complicated backgrounds. In the meantime, the preprocessing obtained information of cell images using the OTSU algorithm is used to initialize the level set function in the model, which can speed up the segmentation and present satisfactory results in cell image processing.展开更多
Using rubricytes and lymphocytes as examples,this paper presents a fuzzy set theory and method to identify human bone marrow hematopoiesis system cells (BMCs).On the basis of the Cauchy’s distribution function,this p...Using rubricytes and lymphocytes as examples,this paper presents a fuzzy set theory and method to identify human bone marrow hematopoiesis system cells (BMCs).On the basis of the Cauchy’s distribution function,this paper sets up a series of membership function formulae of the BMC feature fuzzy subsets,general identification formulae of fuzzy sets for the BMCs,as well as identification formulae of fuzzy sets for rubricytes and lymphocytes.These formulae will assist with the quantitation of unknown cells compared to standard cells.展开更多
目的:对稳定干扰SET(patient SE translocation)的肝细胞株进行生物学性状鉴定,为研究SET蛋白在肝细胞中的作用奠定基础。方法:培养人肝L-02细胞、慢病毒载体介导的稳定干扰(siRNA)SET L-02肝细胞及psiRNAc L-02肝细胞(空载体转染细胞)...目的:对稳定干扰SET(patient SE translocation)的肝细胞株进行生物学性状鉴定,为研究SET蛋白在肝细胞中的作用奠定基础。方法:培养人肝L-02细胞、慢病毒载体介导的稳定干扰(siRNA)SET L-02肝细胞及psiRNAc L-02肝细胞(空载体转染细胞),于倒置显微镜下观察细胞形态,利用MTT吸光度与细胞数目间关系绘制生长曲线,采用染色体畸变试验观察染色体有无结构异常,软琼脂克隆实验检测细胞的恶性转化。结果:与正常肝细胞比较,稳定干扰SET肝细胞及psiRNAc肝细胞的生长形态无明显变化,3组细胞的生长曲线趋于一致。染色体畸变分析表明SET基因沉默的人肝L-02细胞染色体结构与数目未发生明显改变。软琼脂克隆实验表明SET基因沉默的人肝L-02细胞未发生恶性转化。结论:SET siRNA的导入未引起细胞生物学特征的改变,遗传性状保持稳定,说明所构建的SE7基因沉默的人肝L-02细胞模型是稳定的,为后续的研究提供了工具细胞。展开更多
基金supported by the National Basic Research Program of China (Grant No. 2011CB707701)the National Natural Science Foundation of China (Grant No. 60873124)+2 种基金the Joint Research Foundation of Beijing Education Committee (GrantNo. JD100010607)the International Science and Technology Supporting Programme (Grant No. 2008BAH26B00)the Zhejiang Service Robot Key Laboratory (Grant No. 2008E10004)
文摘In this paper we first determine three phases of cell images： background, cytoplasm and nucleolus according to the general physical characteristics of cell images, and then develop a variational model, based on these characteristics, to segment nucleolus and cytoplasm from their relatively complicated backgrounds. In the meantime, the preprocessing obtained information of cell images using the OTSU algorithm is used to initialize the level set function in the model, which can speed up the segmentation and present satisfactory results in cell image processing.
文摘Using rubricytes and lymphocytes as examples,this paper presents a fuzzy set theory and method to identify human bone marrow hematopoiesis system cells (BMCs).On the basis of the Cauchy’s distribution function,this paper sets up a series of membership function formulae of the BMC feature fuzzy subsets,general identification formulae of fuzzy sets for the BMCs,as well as identification formulae of fuzzy sets for rubricytes and lymphocytes.These formulae will assist with the quantitation of unknown cells compared to standard cells.
