A Streamlined Workflow for Microscopy-Driven MALDI Imaging Mass Spectrometry Data Collection.

IF 3.1 2区 化学 Q2 BIOCHEMICAL RESEARCH METHODS
Allison B Esselman, Megan S Ward, Cody R Marshall, Ellie L Pingry, Martin Dufresne, Melissa A Farrow, Matthew Schrag, Jeffrey M Spraggins
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引用次数: 0

Abstract

Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS) is a rapidly advancing technology for biomedical research. As spatial resolution increases, however, so do acquisition time, file size, and experimental cost, which increases the need to perform precise sampling of targeted tissue regions to optimize the biological information gleaned from an experiment and minimize wasted resources. The ability to define instrument measurement regions based on key tissue features and automatically sample these specific regions of interest (ROIs) addresses this challenge. Herein, we demonstrate a workflow using standard software that allows for direct sampling of microscopy-defined regions by MALDI IMS. Three case studies are included, highlighting different methods for defining features from common sample types─manual annotation of vasculature in human brain tissue, automated segmentation of renal functional tissue units across whole slide images using custom segmentation algorithms, and automated segmentation of dispersed HeLa cells using open-source software. Each case minimizes data acquisition from unnecessary sample regions and dramatically increases throughput while uncovering molecular heterogeneity within targeted ROIs. This workflow provides an approachable method for spatially targeted MALDI IMS driven by microscopy as part of multimodal molecular imaging studies.

显微镜驱动 MALDI 成像质谱数据采集的简化工作流程。
基质辅助激光解吸电离成像质谱法(MALDI IMS)是生物医学研究领域发展迅速的一项技术。然而,随着空间分辨率的提高,采集时间、文件大小和实验成本也随之增加,这就更需要对目标组织区域进行精确采样,以优化从实验中收集到的生物信息,最大限度地减少资源浪费。根据关键组织特征定义仪器测量区域并自动采样这些特定感兴趣区域(ROI)的能力解决了这一难题。在此,我们展示了一种使用标准软件的工作流程,该流程允许通过 MALDI IMS 对显微镜定义的区域直接采样。其中包括三个案例研究,重点介绍了定义常见样本类型特征的不同方法--人工标注人脑组织中的血管、使用自定义分割算法自动分割整个玻片图像中的肾功能组织单元,以及使用开源软件自动分割分散的 HeLa 细胞。每个案例都最大限度地减少了不必要样本区域的数据采集,在揭示目标 ROI 内分子异质性的同时显著提高了吞吐量。该工作流程为显微镜驱动的空间靶向 MALDI IMS 提供了一种平易近人的方法,是多模态分子成像研究的一部分。
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来源期刊
CiteScore
5.50
自引率
9.40%
发文量
257
审稿时长
1 months
期刊介绍: The Journal of the American Society for Mass Spectrometry presents research papers covering all aspects of mass spectrometry, incorporating coverage of fields of scientific inquiry in which mass spectrometry can play a role. Comprehensive in scope, the journal publishes papers on both fundamentals and applications of mass spectrometry. Fundamental subjects include instrumentation principles, design, and demonstration, structures and chemical properties of gas-phase ions, studies of thermodynamic properties, ion spectroscopy, chemical kinetics, mechanisms of ionization, theories of ion fragmentation, cluster ions, and potential energy surfaces. In addition to full papers, the journal offers Communications, Application Notes, and Accounts and Perspectives
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