Andrea Bodonyi, Győző Kurucz, G. Holló, Roland Kunkli
{"title":"一个基于质心坐标的可视化框架,用于微观有机体的运动","authors":"Andrea Bodonyi, Győző Kurucz, G. Holló, Roland Kunkli","doi":"10.33039/AMI.2021.04.006","DOIUrl":null,"url":null,"abstract":"As many research projects face the need to manage a large amount of generated research-specific data, usually with a specific structure, the demand for visualization systems is common. Likewise, the emerging data volume could turn substantially transparent cast in a visual appearance. Also, the non-trivial character of the dataset made the construction of a custom visualization necessary. Taking the possessed requirements into account, we designed a tool for processing the simulation data and handling the issue resulted from the indirectness with a previously analyzed barycentric conversion method. The system also visualizes the microscopic organism’s behavior and supports a straightforward data analysis through several built-in tools.","PeriodicalId":8040,"journal":{"name":"Applied Medical Informaticvs","volume":"69 1","pages":"61-72"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A barycentric coordinates-based visualization framework for movement of microscopic organisms\",\"authors\":\"Andrea Bodonyi, Győző Kurucz, G. Holló, Roland Kunkli\",\"doi\":\"10.33039/AMI.2021.04.006\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As many research projects face the need to manage a large amount of generated research-specific data, usually with a specific structure, the demand for visualization systems is common. Likewise, the emerging data volume could turn substantially transparent cast in a visual appearance. Also, the non-trivial character of the dataset made the construction of a custom visualization necessary. Taking the possessed requirements into account, we designed a tool for processing the simulation data and handling the issue resulted from the indirectness with a previously analyzed barycentric conversion method. The system also visualizes the microscopic organism’s behavior and supports a straightforward data analysis through several built-in tools.\",\"PeriodicalId\":8040,\"journal\":{\"name\":\"Applied Medical Informaticvs\",\"volume\":\"69 1\",\"pages\":\"61-72\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Medical Informaticvs\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33039/AMI.2021.04.006\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Medical Informaticvs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33039/AMI.2021.04.006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A barycentric coordinates-based visualization framework for movement of microscopic organisms
As many research projects face the need to manage a large amount of generated research-specific data, usually with a specific structure, the demand for visualization systems is common. Likewise, the emerging data volume could turn substantially transparent cast in a visual appearance. Also, the non-trivial character of the dataset made the construction of a custom visualization necessary. Taking the possessed requirements into account, we designed a tool for processing the simulation data and handling the issue resulted from the indirectness with a previously analyzed barycentric conversion method. The system also visualizes the microscopic organism’s behavior and supports a straightforward data analysis through several built-in tools.