Digital Image Analysis of Cells and Computational Tools for the Study of Mechanism of RSV Entry to Human Bronchial Epithelium.

Margarita Gamarra, Eduardo Zurek
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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.

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细胞数字图像分析及RSV进入人支气管上皮机制研究的计算工具。
本文提出了一项研究计划,该计划已于2015年8月在北方大学计算机系统工程博士课程中发展为博士论文。本研究的重点是分析呼吸道合胞病毒感染人支气管上皮细胞图像,以了解病毒进入人体的机制。由于需要处理大量的信息,因此有必要使用计算工具来最终区分感染和未感染的细胞。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Digital Image Analysis of Cells and Computational Tools for the Study of Mechanism of RSV Entry to Human Bronchial Epithelium.
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