Patterson Nathan H, Doonan Robert J, Daskalopoulou Stella S, Dufresne Martin, Lenglet Sébastien, Montecucco Fabrizio, Thomas Aurélien, Chaurand Pierre
Department of Chemistry, University of Montreal, Montreal, Quebec, Canada.
Department of Medicine, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
Proteomics. 2016 Jun;16(11-12):1642-51. doi: 10.1002/pmic.201500490. Epub 2016 May 9.
Three-dimensional MALDI imaging MS (IMS) is a growing branch of IMS still requiring developments in methodology and technology to make the technique routinely accessible. Many challenges are simply a matter of producing 3D reconstructions and interpreting them in a timely fashion. In this aim and using analysis of lipids from atherosclerotic plaques from a human carotid and mouse aortic sinuses, we describe 3D reconstruction methods using open-source software that provides high-quality visualization and rapid interpretation through multivariate segmentation of the 3D IMS data. Multiple datasets were generated for each sample and we provide insight into simple means to correlate the separate datasets.
三维基质辅助激光解吸/电离成像质谱（IMS）是成像质谱中一个不断发展的分支，在方法和技术方面仍需改进，以使该技术能够常规应用。许多挑战仅仅是关于生成三维重建并及时对其进行解释的问题。出于这个目的，我们利用对人类颈动脉和小鼠主动脉窦动脉粥样硬化斑块中的脂质分析，描述了使用开源软件的三维重建方法，该软件通过对三维IMS数据进行多变量分割，提供高质量的可视化和快速解释。为每个样本生成了多个数据集，我们深入探讨了关联这些单独数据集的简单方法。
