Mathematical Methods for 3D Reconstruction of Cell Structures

Mendel Pub Date : 2022-12-20 DOI:10.13164/mendel.2022.2.083
D. Martišek
{"title":"Mathematical Methods for 3D Reconstruction of Cell Structures","authors":"D. Martišek","doi":"10.13164/mendel.2022.2.083","DOIUrl":null,"url":null,"abstract":"The study of the complicated architecture of cell space structures is an important problem in biology and medical research. Optical cuts of cells produced by confocal microscopes contain a lot of information, however, most of this is unsubstantial for human vision. Therefore, it is necessary to use mathematical algorithms for the visualization of such images. Present software tools such as OpenGL or DirectX run quickly in a graphic station with special graphic cards, run very unsatisfactory on PC without these cards and outputs are usually poor for real data. These tools are black boxes for a common user and make it impossible to correct and improve them. With the method proposed, more parameters of the environment can be set. The quality of the output is incomparable to the earlier described methods and is worth increasing the computing time. We would like to offer mathematical methods of 3D scalar data visualization describing new algorithms that run on standard PCs very well.","PeriodicalId":38293,"journal":{"name":"Mendel","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mendel","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.13164/mendel.2022.2.083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The study of the complicated architecture of cell space structures is an important problem in biology and medical research. Optical cuts of cells produced by confocal microscopes contain a lot of information, however, most of this is unsubstantial for human vision. Therefore, it is necessary to use mathematical algorithms for the visualization of such images. Present software tools such as OpenGL or DirectX run quickly in a graphic station with special graphic cards, run very unsatisfactory on PC without these cards and outputs are usually poor for real data. These tools are black boxes for a common user and make it impossible to correct and improve them. With the method proposed, more parameters of the environment can be set. The quality of the output is incomparable to the earlier described methods and is worth increasing the computing time. We would like to offer mathematical methods of 3D scalar data visualization describing new algorithms that run on standard PCs very well.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
细胞结构三维重建的数学方法
细胞空间结构的复杂结构研究是生物学和医学研究中的一个重要问题。共聚焦显微镜产生的细胞光学切面包含了大量的信息,然而,这些信息中的大多数对于人类的视觉来说是微不足道的。因此,有必要使用数学算法来实现这类图像的可视化。现有的软件工具如OpenGL或DirectX在使用特殊显卡的图形工作站中运行速度很快,但在没有这些显卡的PC上运行非常不理想,并且输出的真实数据通常很差。对于普通用户来说,这些工具都是黑盒,无法纠正和改进。利用该方法,可以设置更多的环境参数。输出的质量是前面描述的方法无法比拟的,值得增加计算时间。我们希望提供3D标量数据可视化的数学方法,描述在标准pc上运行良好的新算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Mendel
Mendel Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.20
自引率
0.00%
发文量
7
期刊最新文献
Detecting Outliers Using Modified Recursive PCA Algorithm For Dynamic Streaming Data Stock and Structured Warrant Portfolio Optimization Using Black-Litterman Model and Binomial Method Optimized Fixed-Time Synergetic Controller via a modified Salp Swarm Algorithm for Acute and Chronic HBV Transmission System Initial Coin Offering Prediction Comparison Using Ridge Regression, Artificial Neural Network, Random Forest Regression, and Hybrid ANN-Ridge Predicting Football Match Outcomes with Machine Learning Approaches
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1