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Cell
Article
License: Elsevier Non-Commercial
Data sources: UnpayWall
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Cell
Article . 2016 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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Mass Cytometry: Single Cells, Many Features

Authors: Spitzer, Matthew H; Nolan, Garry P;

Mass Cytometry: Single Cells, Many Features

Abstract

Technology development in biological research often aims to either increase the number of cellular features that can be surveyed simultaneously or enhance the resolution at which such observations are possible. For decades, flow cytometry has balanced these goals to fill a critical need by enabling the measurement of multiple features in single cells, commonly to examine complex or hierarchical cellular systems. Recently, a format for flow cytometry has been developed that leverages the precision of mass spectrometry. This fusion of the two technologies, termed mass cytometry, provides measurement of over 40 simultaneous cellular parameters at single-cell resolution, significantly augmenting the ability of cytometry to evaluate complex cellular systems and processes. In this Primer, we review the current state of mass cytometry, providing an overview of the instrumentation, its present capabilities, and methods of data analysis, as well as thoughts on future developments and applications.

Country
United States
Related Organizations
Keywords

B-Lymphocytes, Biomedical and clinical sciences, Biomedical and Clinical Sciences, Bioengineering, Biological Sciences, Flow Cytometry, Medical and Health Sciences, Mass Spectrometry, Biological sciences, Good Health and Well Being, Animals, Humans, Generic health relevance, Single-Cell Analysis, Developmental Biology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1K
Top 0.1%
Top 1%
Top 0.01%
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hybrid