{"title":"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。","authors":"Margarita Gamarra, Eduardo Zurek","doi":"10.23919/CISTI.2017.7975726","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":93374,"journal":{"name":"Sistemas e Tecnologias de Informacao : atas de 12a Conferencia Iberica de Sistemas e Tecnologias de Informacao (CISTI'2017) : 21 a 24 de junho de 2017, Lisboa, Portugal = Information systems and technologies : proceedings of the 12th Ib...","volume":"2017 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.23919/CISTI.2017.7975726","citationCount":"0","resultStr":"{\"title\":\"Digital Image Analysis of Cells and Computational Tools for the Study of Mechanism of RSV Entry to Human Bronchial Epithelium.\",\"authors\":\"Margarita Gamarra, Eduardo Zurek\",\"doi\":\"10.23919/CISTI.2017.7975726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":93374,\"journal\":{\"name\":\"Sistemas e Tecnologias de Informacao : atas de 12a Conferencia Iberica de Sistemas e Tecnologias de Informacao (CISTI'2017) : 21 a 24 de junho de 2017, Lisboa, Portugal = Information systems and technologies : proceedings of the 12th Ib...\",\"volume\":\"2017 \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.23919/CISTI.2017.7975726\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sistemas e Tecnologias de Informacao : atas de 12a Conferencia Iberica de Sistemas e Tecnologias de Informacao (CISTI'2017) : 21 a 24 de junho de 2017, Lisboa, Portugal = Information systems and technologies : proceedings of the 12th Ib...\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/CISTI.2017.7975726\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2017/7/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sistemas e Tecnologias de Informacao : atas de 12a Conferencia Iberica de Sistemas e Tecnologias de Informacao (CISTI'2017) : 21 a 24 de junho de 2017, Lisboa, Portugal = Information systems and technologies : proceedings of the 12th Ib...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/CISTI.2017.7975726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2017/7/13 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Digital Image Analysis of Cells and Computational Tools for the Study of Mechanism of RSV Entry to Human Bronchial Epithelium.
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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