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Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies
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 parame...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868098/ https://www.ncbi.nlm.nih.gov/pubmed/31798587 http://dx.doi.org/10.3389/fimmu.2019.02657 |
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author | Baharlou, Heeva Canete, Nicolas P. Cunningham, Anthony L. Harman, Andrew N. Patrick, Ellis |
author_facet | Baharlou, Heeva Canete, Nicolas P. Cunningham, Anthony L. Harman, Andrew N. Patrick, Ellis |
author_sort | Baharlou, Heeva |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6868098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68680982019-12-03 Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies Baharlou, Heeva Canete, Nicolas P. Cunningham, Anthony L. Harman, Andrew N. Patrick, Ellis Front Immunol Immunology 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. Frontiers Media S.A. 2019-11-14 /pmc/articles/PMC6868098/ /pubmed/31798587 http://dx.doi.org/10.3389/fimmu.2019.02657 Text en Copyright © 2019 Baharlou, Canete, Cunningham, Harman and Patrick. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Baharlou, Heeva Canete, Nicolas P. Cunningham, Anthony L. Harman, Andrew N. Patrick, Ellis Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies |
title | Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies |
title_full | Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies |
title_fullStr | Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies |
title_full_unstemmed | Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies |
title_short | Mass Cytometry Imaging for the Study of Human Diseases—Applications and Data Analysis Strategies |
title_sort | mass cytometry imaging for the study of human diseases—applications and data analysis strategies |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868098/ https://www.ncbi.nlm.nih.gov/pubmed/31798587 http://dx.doi.org/10.3389/fimmu.2019.02657 |
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