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Imaging Flow Cytometry

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Cover of 'Imaging Flow Cytometry'

Table of Contents

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    Book Overview
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    Chapter 1 Quantitative Functional Morphology by Imaging Flow Cytometry
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    Chapter 2 Principles of Amnis Imaging Flow Cytometry
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    Chapter 3 Ultrafast Microfluidic Cellular Imaging by Optical Time-Stretch
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    Chapter 4 Applications of Imaging Flow Cytometry for Microalgae
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    Chapter 5 The Analysis of Cell Cycle, Proliferation, and Asymmetric Cell Division by Imaging Flow Cytometry
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    Chapter 6 Quantitation of Chromosome Damage by Imaging Flow Cytometry
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    Chapter 7 Fluorescent In Situ Hybridization in Suspension by Imaging Flow Cytometry
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    Chapter 8 Analysis of Nucleocytoplasmic Protein Shuttling by Imaging Flow Cytometry
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    Chapter 9 Using Image-Based Flow Cytometry with a FISH-Based FlowRNA Assay to Simultaneously Detect Intracellular TNF-α Protein and mRNA in Monocytes Following LPS Stimulation
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    Chapter 10 Multiparametric Characterization of Human T-Cell Immune Synapses by InFlow Microscopy
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    Chapter 11 Studying T Cells N-Glycosylation by Imaging Flow Cytometry
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    Chapter 12 Assessment of Granulocyte Subset Activation: New Information from Image-Based Flow Cytometry
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    Chapter 13 Using Image-Based Flow Cytometry to Assess Monocyte Oxidized LDL Phagocytosis Capacity
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    Chapter 14 Imaging Flow Cytometry
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    Chapter 15 Accurate Assessment of Cell Death by Imaging Flow Cytometry
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    Chapter 16 Imaging Flow Cytometry
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    Chapter 17 FlowCam: Quantification and Classification of Phytoplankton by Imaging Flow Cytometry
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    Chapter 18 Detection and Characterization of Rare Circulating Endothelial Cells by Imaging Flow Cytometry
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    Chapter 19 Imaging Flow Cytometric Analysis of Primary Bone Marrow Megakaryocytes
  21. Altmetric Badge
    Chapter 20 Sickle Cell Imaging Flow Cytometry Assay (SIFCA)
Attention for Chapter 16: Imaging Flow Cytometry
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Chapter title
Imaging Flow Cytometry
Chapter number 16
Book title
Imaging Flow Cytometry
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3302-0_16
Pubmed ID
Book ISBNs
978-1-4939-3300-6, 978-1-4939-3302-0
Authors

Vorobjev, Ivan A, Barteneva, Natasha S, Ivan A. Vorobjev, Natasha S. Barteneva

Abstract

Apoptotic process is highly heterogeneous, and a long-standing question is how many parameters define time and reversibility of the apoptotic response at a population and single-cell levels. Cell death analysis applications have greatly expanded since the introduction of flow cytometry. Classical approach for evaluation of apoptosis is en masse analysis of cells treated with different stimuli, but these methods cannot demonstrate heterogeneity in the population. Single-cell heterogeneity is now usually assessed by multicolor fluorescence microscopy; however obtaining reasonable statistics is time consuming and laborious. Therefore we combined flow cytometry, imaging flow cytometry, and fluorescent microscopy to characterize at a single-cell and population level sequence of apoptotic events induced by a variety of treatments (Vorobjev, Barteneva, J Histochem Cytochem 63:494-510, 2015). We show that simultaneous use of membrane potential dye TMRE, caspases 3/7 sensor, Annexin V and nuclear staining along with morphological parameters demonstrate heterogeneity of the whole process and is a valuable method for quantitative study of the apoptosis execution. Imaging flow cytometry allowed us to analyze correlation between TMRE, caspases 3/7, and Annexin V staining and morphological characteristics providing valuable information on the process of apoptotic execution. Importantly, comparisons of different data sets obtained by three methods allowed us to achieve temporal resolution of the whole process superior to that had been obtained by only one method.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Student > Bachelor 1 17%
Student > Postgraduate 1 17%
Unknown 2 33%
Readers by discipline Count As %
Chemical Engineering 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Immunology and Microbiology 1 17%
Neuroscience 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 July 2016.
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#20,336,031
of 22,881,154 outputs
Outputs from Methods in molecular biology
#9,921
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Outputs of similar age
#330,743
of 393,701 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
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