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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
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    Chapter 20 Sickle Cell Imaging Flow Cytometry Assay (SIFCA)
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Imaging Flow Cytometry
Published by
Springer New York, November 2015
DOI 10.1007/978-1-4939-3302-0
978-1-4939-3300-6, 978-1-4939-3302-0

Natasha S. Barteneva, Ivan A. Vorobjev

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 25%
Student > Master 12 17%
Researcher 12 17%
Student > Bachelor 8 11%
Other 3 4%
Other 8 11%
Unknown 10 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 21%
Agricultural and Biological Sciences 8 11%
Immunology and Microbiology 8 11%
Engineering 7 10%
Medicine and Dentistry 4 6%
Other 15 21%
Unknown 14 20%