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Flow Cytometry Protocols

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Cover of 'Flow Cytometry Protocols'

Table of Contents

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    Book Overview
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    Chapter 1 Flow Cytometry: The Glass Is Half Full
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    Chapter 2 High-Dimensional Modeling for Cytometry: Building Rock Solid Models Using GemStone™ and Verity Cen-se’™ High-Definition t-SNE Mapping
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    Chapter 3 Mass Cytometry Assays for Antigen-Specific T Cells Using CyTOF
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    Chapter 4 RNA Flow Cytometry Using the Branched DNA Technique
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    Chapter 5 Analysis of Individual Extracellular Vesicles by Flow Cytometry
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    Chapter 6 Quantitative Fluorescence Measurements with Multicolor Flow Cytometry
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    Chapter 7 High Throughput Flow Cytometry for Cell Surface Profiling
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    Chapter 8 Multiparameter Conventional Flow Cytometry
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    Chapter 9 Multiparameter Intracellular Cytokine Staining
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    Chapter 10 Multiparametric Analysis of Apoptosis by Flow Cytometry
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    Chapter 11 Multiparameter Cell Cycle Analysis
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    Chapter 12 Monitoring Cell Proliferation by Dye Dilution: Considerations for Probe Selection
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    Chapter 13 Immunophenotypic Identification of Early Myeloerythroid Development
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    Chapter 14 Flow Cytometry Assays in Primary Immunodeficiency Diseases
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    Chapter 15 Real-Time Deformability Cytometry: Label-Free Functional Characterization of Cells
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    Chapter 16 Nuclear Cytometry: Analysis of the Patterns of DNA Synthesis and Transcription Using Flow Cytometry, Confocal Microscopy, and RNA Sequencing
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    Chapter 17 Flow Cytometric FRET Analysis of Protein Interactions
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    Chapter 18 Overview of Fluorescence Lifetime Measurements in Flow Cytometry
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    Chapter 19 Overview of Lasers for Flow Cytometry
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    Chapter 20 Flow Cytometry: The Glass Is Half Empty
Attention for Chapter 2: High-Dimensional Modeling for Cytometry: Building Rock Solid Models Using GemStone™ and Verity Cen-se’™ High-Definition t-SNE Mapping
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Chapter title
High-Dimensional Modeling for Cytometry: Building Rock Solid Models Using GemStone™ and Verity Cen-se’™ High-Definition t-SNE Mapping
Chapter number 2
Book title
Flow Cytometry Protocols
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7346-0_2
Pubmed ID
Book ISBNs
978-1-4939-7344-6, 978-1-4939-7346-0
Authors

C. Bruce Bagwell

Abstract

This chapter outlines how to approach the complex tasks associated with designing models for high-dimensional cytometry data. Unlike gating approaches, modeling lends itself to automation and accounts for measurement overlap among cellular populations. Designing these models is now easier because of a new technique called high-definition t-SNE mapping. Nontrivial examples are provided that serve as a guide to create models that are consistent with data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unknown 5 100%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 20%
Chemistry 1 20%
Unknown 3 60%