Thomas Mathew, Heath Brandi S, Laskin Julia, Li Dongsheng, Liu Ellen, Hui Katrina, Kuprat Andrew P, van Dam Kerstin Kleese, Carson James P
Pacific Northwest National Laboratory, Richland, WA 99354, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:5545-8. doi: 10.1109/EMBC.2012.6347250.
Mass Spectrometric Imaging (MSI) allows the generation of 2D ion density maps that help visualize molecules present in sections of tissues and cells. The combination of spatial resolution and mass resolution results in very large and complex data sets. New capabilities are necessary for efficient analysis and interpretation of this data. This work details the development and application of the capability to process, visualize, query, and analyze spatial mass spectrometry data. Applications include the generation of 2D maps for selected spectra, the manipulation of the heat maps, and the identification of spectral peaks. Heat maps are generated by projecting the sum of intensity vs. time spectra of each pixel for selected m/z value or range. These capabilities take the form of a new interactive software toolkit, MSI QuickView. This software approach is a significant advance over the previous state-of-the art methods that required the conversion of the RAW data using one software, manual assembly of the data, and visualization in another software.
质谱成像（MSI）能够生成二维离子密度图，有助于可视化组织和细胞切片中存在的分子。空间分辨率和质量分辨率的结合产生了非常大且复杂的数据集。为了高效分析和解释这些数据，需要新的功能。这项工作详细介绍了处理、可视化、查询和分析空间质谱数据功能的开发与应用。应用包括生成选定光谱的二维图、热图的操作以及光谱峰的识别。热图是通过投影选定质荷比（m/z）值或范围的每个像素的强度与时间光谱之和生成的。这些功能采用了一种新的交互式软件工具包——MSI QuickView的形式。这种软件方法相对于以前的先进方法有了显著进步，以前的方法需要使用一种软件转换原始数据、手动组装数据并在另一种软件中进行可视化。
