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

Heeva Baharlou; Nicolas P Canete; Anthony L Cunningham; Andrew N Harman; Ellis Patrick

doi:10.3389/fimmu.2019.02657

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

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

Authors

Heeva Baharlou^{1

2}, Nicolas P Canete^{1

2}, Anthony L Cunningham^{1

2}, Andrew N Harman^{1

2}, Ellis Patrick^{1

3}

Affiliations

¹ The Westmead Institute for Medical Research, University of Sydney, Westmead, NSW, Australia.
² Centre for Virus Research, The Westmead Institute for Medical Research, Westmead, NSW, Australia.
³ School of Mathematics and Statistics, University of Sydney, Sydney, NSW, Australia.

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.

Keywords: analysis; cytometry; imaging cytometry; imaging mass cytometry (IMC); mass cytometry (CyTOF); multiplexed imaging; multiplexed ion beam imaging; single cell.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Data Analysis
Flow Cytometry / methods*
Humans
Image Cytometry / methods*