Department of Chemistry, University of Illinois at Urbana-Champaign, IL, USA.
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, IL, USA.
FEBS Lett. 2024 Mar;598(6):591-601. doi: 10.1002/1873-3468.14798. Epub 2024 Jan 19.
Multimodal mass spectrometry (MMS) incorporates an imaging modality with probe-based mass spectrometry (MS) to enable precise, targeted data acquisition and provide additional biological and chemical data not available by MS alone. Two categories of MMS are covered; in the first, an imaging modality guides the MS probe to target individual cells and to reduce acquisition time by automatically defining regions of interest. In the second category, imaging and MS data are coupled in the data analysis pipeline to increase the effective spatial resolution using a higher resolution imaging method, correct for tissue deformation, and incorporate fine morphological features in an MS imaging dataset. Recent methodological and computational developments are covered along with their application to single-cell and imaging analyses.
多模态质谱(MMS)将成像模式与基于探针的质谱(MS)相结合,以实现精确、靶向的数据采集,并提供仅通过 MS 无法获得的额外生物学和化学数据。涵盖了两种类型的 MMS;在第一种类型中,成像模式引导 MS 探针靶向单个细胞,并通过自动定义感兴趣区域来减少采集时间。在第二种类型中,在数据分析管道中耦合成像和 MS 数据,以使用更高分辨率的成像方法提高有效空间分辨率,校正组织变形,并将精细的形态特征纳入 MS 成像数据集。本文涵盖了最近的方法学和计算发展及其在单细胞和成像分析中的应用。