↓ Skip to main content

Imaging Flow Cytometry

Overview of attention for book
Cover of 'Imaging Flow Cytometry'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Quantitative Functional Morphology by Imaging Flow Cytometry
  3. Altmetric Badge
    Chapter 2 Principles of Amnis Imaging Flow Cytometry
  4. Altmetric Badge
    Chapter 3 Ultrafast Microfluidic Cellular Imaging by Optical Time-Stretch
  5. Altmetric Badge
    Chapter 4 Applications of Imaging Flow Cytometry for Microalgae
  6. Altmetric Badge
    Chapter 5 The Analysis of Cell Cycle, Proliferation, and Asymmetric Cell Division by Imaging Flow Cytometry
  7. Altmetric Badge
    Chapter 6 Quantitation of Chromosome Damage by Imaging Flow Cytometry
  8. Altmetric Badge
    Chapter 7 Fluorescent In Situ Hybridization in Suspension by Imaging Flow Cytometry
  9. Altmetric Badge
    Chapter 8 Analysis of Nucleocytoplasmic Protein Shuttling by Imaging Flow Cytometry
  10. Altmetric Badge
    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
  11. Altmetric Badge
    Chapter 10 Multiparametric Characterization of Human T-Cell Immune Synapses by InFlow Microscopy
  12. Altmetric Badge
    Chapter 11 Studying T Cells N-Glycosylation by Imaging Flow Cytometry
  13. Altmetric Badge
    Chapter 12 Assessment of Granulocyte Subset Activation: New Information from Image-Based Flow Cytometry
  14. Altmetric Badge
    Chapter 13 Using Image-Based Flow Cytometry to Assess Monocyte Oxidized LDL Phagocytosis Capacity
  15. Altmetric Badge
    Chapter 14 Imaging Flow Cytometry
  16. Altmetric Badge
    Chapter 15 Accurate Assessment of Cell Death by Imaging Flow Cytometry
  17. Altmetric Badge
    Chapter 16 Imaging Flow Cytometry
  18. Altmetric Badge
    Chapter 17 FlowCam: Quantification and Classification of Phytoplankton by Imaging Flow Cytometry
  19. Altmetric Badge
    Chapter 18 Detection and Characterization of Rare Circulating Endothelial Cells by Imaging Flow Cytometry
  20. Altmetric Badge
    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 18: Detection and Characterization of Rare Circulating Endothelial Cells by Imaging Flow Cytometry
Altmetric Badge

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
10 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Detection and Characterization of Rare Circulating Endothelial Cells by Imaging Flow Cytometry
Chapter number 18
Book title
Imaging Flow Cytometry
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3302-0_18
Pubmed ID
Book ISBNs
978-1-4939-3300-6, 978-1-4939-3302-0
Authors

Leigh Samsel, J. Philip McCoy, J. Philip McCoyJr.

Abstract

Circulating endothelial cells (CECs) are angiogenic cells that appear in increased numbers in the peripheral circulation either as a result of vascular injury or in response to angiogenic stimuli. Elevated levels of CECs have been correlated with various disease states, indicating the use of CECs as a biomarker of disease. Flow cytometry is a widely accepted method for detecting and quantitating CECs. Flow cytometry provides statistical information on large numbers of cells but no information on morphological characteristics. Imaging flow cytometry combines traditional flow cytometry and microscopy, providing a streamlined, multiparameter approach to characterize the biological properties and morphology of large numbers of cells, and is particularly amenable for rare event analysis such as CECs. This approach for identifying and characterizing CECs allows the morphological characterization of large numbers of live, nucleated, single CECs, and alleviates the need for prior enrichment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 30%
Student > Bachelor 1 10%
Student > Ph. D. Student 1 10%
Researcher 1 10%
Professor > Associate Professor 1 10%
Other 1 10%
Unknown 2 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 30%
Medicine and Dentistry 2 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Psychology 1 10%
Engineering 1 10%
Other 0 0%
Unknown 2 20%