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MSiReader:一个用于在 Matlab 平台上查看和分析高分辨率 MS 成像文件的开源接口。

MSiReader: an open-source interface to view and analyze high resolving power MS imaging files on Matlab platform.

机构信息

W. M. Keck FT-ICR Mass Spectrometry Laboratory, Department of Chemistry, North Carolina State University, Raleigh, NC 27695, USA.

出版信息

J Am Soc Mass Spectrom. 2013 May;24(5):718-21. doi: 10.1007/s13361-013-0607-z. Epub 2013 Mar 28.

Abstract

During the past decade, the field of mass spectrometry imaging (MSI) has greatly evolved, to a point where it has now been fully integrated by most vendors as an optional or dedicated platform that can be purchased with their instruments. However, the technology is not mature and multiple research groups in both academia and industry are still very actively studying the fundamentals of imaging techniques, adapting the technology to new ionization sources, and developing new applications. As a result, there important varieties of data file formats used to store mass spectrometry imaging data and, concurrent to the development of MSi, collaborative efforts have been undertaken to introduce common imaging data file formats. However, few free software packages to read and analyze files of these different formats are readily available. We introduce here MSiReader, a free open source application to read and analyze high resolution MSI data from the most common MSi data formats. The application is built on the Matlab platform (Mathworks, Natick, MA, USA) and includes a large selection of data analysis tools and features. People who are unfamiliar with the Matlab language will have little difficult navigating the user-friendly interface, and users with Matlab programming experience can adapt and customize MSiReader for their own needs.

摘要

在过去的十年中,质谱成像(MSI)领域取得了巨大的发展,现在大多数供应商都将其完全集成作为可选或专用平台,可以与他们的仪器一起购买。然而,该技术尚未成熟,学术界和工业界的多个研究小组仍在积极研究成像技术的基础,将技术应用于新的电离源,并开发新的应用。因此,有多种用于存储质谱成像数据的数据文件格式,并且随着 MSi 的发展,已经进行了协作努力以引入通用成像数据文件格式。然而,很少有免费的软件包可以读取和分析这些不同格式的文件。我们在这里介绍 MSiReader,这是一个免费的开源应用程序,用于读取和分析最常见的 MSi 数据格式的高分辨率 MSI 数据。该应用程序建立在 Matlab 平台(Mathworks,Natick,MA,USA)上,包括大量数据分析工具和功能。不熟悉 Matlab 语言的人将很难导航用户友好的界面,而具有 Matlab 编程经验的用户可以根据自己的需求适应和自定义 MSiReader。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bec4/3693088/dc219943212d/nihms461214f1.jpg

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