质谱成像
光学(聚焦)
计算机科学
马尔迪成像
模态(人机交互)
模式
人工智能
质谱法
人机交互
基质辅助激光解吸/电离
化学
解吸
物理
社会学
有机化学
吸附
光学
色谱法
社会科学
作者
Michael Tuck,Florent Grélard,Landry Blanc,Nicolas Desbenoît
标识
DOI:10.3389/fchem.2022.904688
摘要
Multimodal imaging is a powerful strategy for combining information from multiple images. It involves several fields in the acquisition, processing and interpretation of images. As multimodal imaging is a vast subject area with various combinations of imaging techniques, it has been extensively reviewed. Here we focus on Matrix-assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) coupling other imaging modalities in multimodal approaches. While MALDI-MS images convey a substantial amount of chemical information, they are not readily informative about the morphological nature of the tissue. By providing a supplementary modality, MALDI-MS images can be more informative and better reflect the nature of the tissue. In this mini review, we emphasize the analytical and computational strategies to address multimodal MALDI-MSI.
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