用于研究呼吸道合胞病毒进入人支气管上皮细胞机制的细胞数字图像分析及计算工具
Digital Image Analysis of Cells and Computational Tools for the Study of Mechanism of RSV Entry to Human Bronchial Epithelium.
作者信息
Gamarra Margarita, Zurek Eduardo
机构信息
Doctorado en Ingeniería de Sistemas y Computación, Universidad del Norte, Barranquilla, Colombia.
出版信息
Sist Tecnol Inf (2017). 2017 Jun;2017. doi: 10.23919/CISTI.2017.7975726. Epub 2017 Jul 13.
Abstract
this paper presents a research proposal which has been developed as a doctoral thesis in the PhD program in Computer Systems Engineering at the Universidad del Norte since August 2015. This research focuses on the analysis of cell images of the human bronchial epithelium infected with the Respiratory Syncytial Virus in order to understand the mechanisms of entry of the virus into the human body. Due to the large amount of information that is processed, it is necessary to use computational tools to finally differentiate between infected and uninfected cells.
摘要
本文提出了一项研究计划，该计划自2015年8月起作为北大学计算机系统工程博士项目的博士论文开展。这项研究聚焦于对感染呼吸道合胞病毒的人支气管上皮细胞图像进行分析，以了解病毒进入人体的机制。由于需要处理大量信息，有必要使用计算工具来最终区分感染细胞和未感染细胞。
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