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三维荧光二阶校正测定细胞培养基样中山姜素 被引量:1
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作者 吴海龙 张娟 +3 位作者 王建瑶 邵圣枝 张晓华 俞汝勤 《湖南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第8期50-54,共5页
建立了细胞培养基样中山姜素的定量测定方法.将三维激发发射荧光分别与化学计量学中基于平行因子分析(PARAFAC)算法和自加权交替三线性分解(SWATLD)算法的二阶校正方法相结合,当选取待分析体系组分数为2时,得到细胞培养基样中山姜素的... 建立了细胞培养基样中山姜素的定量测定方法.将三维激发发射荧光分别与化学计量学中基于平行因子分析(PARAFAC)算法和自加权交替三线性分解(SWATLD)算法的二阶校正方法相结合,当选取待分析体系组分数为2时,得到细胞培养基样中山姜素的平均回收率分别为(100.3±2.2)%,(100.1±2.2)%.两种算法所得检出限各为0.182 3μg.mL-1,0.178 1μg.mL-1.椭圆置信区间(EJCR)测试证明两种算法所得结果准确可靠. 展开更多
关键词 平行因子分析算法 山姜素 细胞培养基 三维荧光 二阶校正 自加权交替三线 性分解算法
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Applications of texture attribute analysis to seismic interpretation 被引量:3
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作者 啜晓宇 王尚旭 +2 位作者 施佩东 未晛 陈伟 《Journal of Central South University》 SCIE EI CAS 2014年第9期3617-3626,共10页
The first generation coherence algorithm(namely C1 algorithm) is based on the statistical cross-correlation theory, which calculates the coherency of seismic data along both in-line and cross-line. The work, based on ... The first generation coherence algorithm(namely C1 algorithm) is based on the statistical cross-correlation theory, which calculates the coherency of seismic data along both in-line and cross-line. The work, based on texture technique, makes full use of seismic information in different directions and the difference of multi-traces, and proposes a novel methodology named the texture coherence algorithm for seismic reservoir characterization, for short TEC algorithm. Besides, in-line and cross-line directions, it also calculates seismic coherency in 45° and 135° directions deviating from in-line. First, we clearly propose an optimization method and a criterion which structure graylevel co-occurrence matrix parameters in TEC algorithm. Furthermore, the matrix to measure the difference between multi-traces is constructed by texture technique, resulting in horizontal constraints of texture coherence attribute. Compared with the C1 algorithm, the TEC algorithm based on graylevel matrix is of the feature that is multi-direction information fusion and keeps the simplicity and high speed, even it is of multi-trace horizontal constraint, leading to significantly improved resolution. The practical application of the TEC algorithm shows that the TEC attribute is superior to both the C1 attribute and amplitude attribute in identifying faults and channels, and it is as successful as the third generation coherence. 展开更多
关键词 TEXTURE COHERENCE graylevel ATTRIBUTE multi-traces
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