Increasing IC densities necessitate diagnosis methodologies with enhanceddefect locating capabilities. Yet the computational effort expended in extracting diagnosticinformation and the stringent storage requirements c...Increasing IC densities necessitate diagnosis methodologies with enhanceddefect locating capabilities. Yet the computational effort expended in extracting diagnosticinformation and the stringent storage requirements constitute major concerns due to the tremendousnumber of faults in typical ICs. In this paper, we propose an RT-level diagnosis methodology capableof responding to these challenges. In the proposed scheme, diagnostic information is computed on agrouped fault effect basis, enhancing both the storage and the computational aspects. The faulteffect grouping criteria are identified based on a module structure analysis, improving thepropagation ability of the diagnostic information through RT modules. Experimental results show thatthe proposed methodology provides superior speed-ups and significant diagnostic informationcompression at no sacrifice in diagnostic resolution, compared to the existing gate-level diagnosisapproaches.展开更多
目的采用RT-LAMP技术建立一种针对H7N9人禽流感病毒的特异、灵敏、快速、可视、简便的检测方法。方法根据H7N9人禽流感病毒HA基因的保守序列,利用Primer Explorer V4软件,设计一套针对HA基因的7个区域的5条特异性引物,优化反应体系与扩...目的采用RT-LAMP技术建立一种针对H7N9人禽流感病毒的特异、灵敏、快速、可视、简便的检测方法。方法根据H7N9人禽流感病毒HA基因的保守序列,利用Primer Explorer V4软件,设计一套针对HA基因的7个区域的5条特异性引物,优化反应体系与扩增条件,并验证其特异度与灵敏度。结果该方法能检测出H7N9亚型流感病毒,而对H1亚型、H3亚型、H5亚型、H6亚型、H9亚型流感病毒、乙型流感病毒、人副流感病毒、呼吸道合胞病毒、人冠状病毒、人偏肺病毒、人腺病毒、人博卡病毒均无扩增反应,其最低检出限为0.01 pg。另外,扩增反应只需要45 min即可判读结果,并可通过反应液是否有沉淀或向反应液中加入荧光染料来对结果进行可视化诊断。结论本研究建立的RT-LAMP检测方法具有高特异度、高灵敏度、快速简便、可视化判读结果等优势,适合在基层进行H7N9人禽流感病毒的快速检测,并可以应用于大流感疫情的准确筛查。展开更多
文摘Increasing IC densities necessitate diagnosis methodologies with enhanceddefect locating capabilities. Yet the computational effort expended in extracting diagnosticinformation and the stringent storage requirements constitute major concerns due to the tremendousnumber of faults in typical ICs. In this paper, we propose an RT-level diagnosis methodology capableof responding to these challenges. In the proposed scheme, diagnostic information is computed on agrouped fault effect basis, enhancing both the storage and the computational aspects. The faulteffect grouping criteria are identified based on a module structure analysis, improving thepropagation ability of the diagnostic information through RT modules. Experimental results show thatthe proposed methodology provides superior speed-ups and significant diagnostic informationcompression at no sacrifice in diagnostic resolution, compared to the existing gate-level diagnosisapproaches.
文摘目的采用RT-LAMP技术建立一种针对H7N9人禽流感病毒的特异、灵敏、快速、可视、简便的检测方法。方法根据H7N9人禽流感病毒HA基因的保守序列,利用Primer Explorer V4软件,设计一套针对HA基因的7个区域的5条特异性引物,优化反应体系与扩增条件,并验证其特异度与灵敏度。结果该方法能检测出H7N9亚型流感病毒,而对H1亚型、H3亚型、H5亚型、H6亚型、H9亚型流感病毒、乙型流感病毒、人副流感病毒、呼吸道合胞病毒、人冠状病毒、人偏肺病毒、人腺病毒、人博卡病毒均无扩增反应,其最低检出限为0.01 pg。另外,扩增反应只需要45 min即可判读结果,并可通过反应液是否有沉淀或向反应液中加入荧光染料来对结果进行可视化诊断。结论本研究建立的RT-LAMP检测方法具有高特异度、高灵敏度、快速简便、可视化判读结果等优势,适合在基层进行H7N9人禽流感病毒的快速检测,并可以应用于大流感疫情的准确筛查。
