Suppr超能文献

多维生物图像数据的可视化方法

Visualization approaches for multidimensional biological image data.

作者信息

Rueden Curtis T, Eliceiri Kevin W

机构信息

Laboratory for Optical and Computational Instrumentation, University of Wisconsin at Madison, Madison, WI 53706, USA.

出版信息

Biotechniques. 2007 Jul;43(1 Suppl):31, 33-6. doi: 10.2144/000112511.

Abstract

Effective data analysis of the modern biological microscopy data set often necessitates a variety of different analysis strategies, and this often means the biologist may need to use a combination of software tools both commercial and often-times open source. To facilitate this process, there needs to be knowledge of what the approaches are and also practical ways of sharing this data in a nonproprietary way. Thus, for users of open source and commercial software, it is important to have common approaches for multidimensional data analysis that can be run in different software packages and still be effectively compared. Projects like the Open Microscopy Environment, which aim to allow data sharing between open source client tools like ImageJ and VisBio, and commercial packages like Volocity and Imaris via the XML data model are a needed first step in providing a framework or infrastructure for microscopy analysis. As the field has gotten more quantitative in its approaches, this need has only increased with the necessity of having a way to represent key attributes of the data in an open manner.

摘要

对现代生物显微镜数据集进行有效的数据分析通常需要多种不同的分析策略,这往往意味着生物学家可能需要结合使用商业软件工具和通常的开源软件工具。为了促进这一过程,需要了解有哪些方法,以及以非专有方式共享这些数据的实用方法。因此,对于开源软件和商业软件的用户来说,拥有可在不同软件包中运行且仍能有效比较的多维数据分析通用方法非常重要。像开放显微镜环境这样的项目,旨在通过XML数据模型实现ImageJ和VisBio等开源客户端工具与Volocity和Imaris等商业软件包之间的数据共享,这是为显微镜分析提供框架或基础设施所需的第一步。随着该领域在方法上变得更加定量,由于需要以开放的方式表示数据的关键属性,这种需求只会增加。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验