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质谱细胞术成像在人类疾病研究中的应用及数据分析策略。

Mass Cytometry Imaging for the Study of Human Diseases-Applications and Data Analysis Strategies.

机构信息

The Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia.

Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, NSW, Australia.

出版信息

Front Immunol. 2019 Nov 14;10:2657. doi: 10.3389/fimmu.2019.02657. eCollection 2019.

Abstract

High parameter imaging is an important tool in the life sciences for both discovery and healthcare applications. Imaging Mass Cytometry (IMC) and Multiplexed Ion Beam Imaging (MIBI) are two relatively recent technologies which enable clinical samples to be simultaneously analyzed for up to 40 parameters at subcellular resolution. Importantly, these "Mass Cytometry Imaging" (MCI) modalities are being rapidly adopted for studies of the immune system in both health and disease. In this review we discuss, first, the various applications of MCI to date. Second, due to the inherent challenge of analyzing high parameter spatial data, we discuss the various approaches that have been employed for the processing and analysis of data from MCI experiments.

摘要

高参数成像技术是生命科学领域的一个重要工具,既适用于发现研究,也适用于医疗保健应用。成像质谱细胞术(IMC)和多重离子束成像(MIBI)是两种相对较新的技术,可使临床样本能够以亚细胞分辨率同时分析多达 40 个参数。重要的是,这些“质谱细胞术成像”(MCI)模式正在迅速被用于健康和疾病状态下免疫系统的研究。在这篇综述中,我们首先讨论了迄今为止 MCI 的各种应用。其次,由于分析高参数空间数据的固有挑战,我们讨论了为处理和分析 MCI 实验数据而采用的各种方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9dec/6868098/a3ddbb2ba397/fimmu-10-02657-g0001.jpg

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