一种用于多模态 MALDI 和干细胞集落共聚焦成像分析的配准管道。
A Co-registration Pipeline for Multimodal MALDI and Confocal Imaging Analysis of Stem Cell Colonies.
机构信息
School of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
出版信息
J Am Soc Mass Spectrom. 2020 Apr 1;31(4):986-989. doi: 10.1021/jasms.9b00094. Epub 2020 Mar 19.
Abstract
Multimodal mass spectrometry imaging (MSI) data presents unique big data challenges in handling and analysis. Here, we present a pipeline for co-registering matrix-assisted laser desorption/ionization MSI and confocal immunofluorescence imaging data for extracting single-cell metabolite signatures. We further describe methods and introduce software for the simultaneous analysis of these concatenated data sets, which are designed to establish a connection between cell traits of interest (shape metrics, position within sample) and the cells' own metabolic signatures.
摘要
多模态质谱成像 (MSI) 数据在处理和分析方面带来了独特的大数据挑战。在这里，我们提出了一种用于共配准基质辅助激光解吸/电离 MSI 和共聚焦免疫荧光成像数据以提取单细胞代谢特征的工作流程。我们进一步描述了用于同时分析这些串联数据集的方法和软件，这些方法和软件旨在建立感兴趣的细胞特征（形状度量、在样本中的位置）与细胞自身代谢特征之间的联系。
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