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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)
Attention for Chapter 3: Ultrafast Microfluidic Cellular Imaging by Optical Time-Stretch
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Chapter title
Ultrafast Microfluidic Cellular Imaging by Optical Time-Stretch
Chapter number 3
Book title
Imaging Flow Cytometry
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3302-0_3
Pubmed ID
Book ISBNs
978-1-4939-3300-6, 978-1-4939-3302-0
Authors

Andy K. S. Lau, Terence T. W. Wong, Ho Cheung Shum, Kenneth K. Y. Wong, Kevin K. Tsia

Abstract

There is an unmet need in biomedicine for measuring a multitude of parameters of individual cells (i.e., high content) in a large population efficiently (i.e., high throughput). This is particularly driven by the emerging interest in bringing Big-Data analysis into this arena, encompassing pathology, drug discovery, rare cancer cell detection, emulsion microdroplet assays, to name a few. This momentum is particularly evident in recent advancements in flow cytometry. They include scaling of the number of measurable colors from the labeled cells and incorporation of imaging capability to access the morphological information of the cells. However, an unspoken predicament appears in the current technologies: higher content comes at the expense of lower throughput, and vice versa. For example, accessing additional spatial information of individual cells, imaging flow cytometers only achieve an imaging throughput ~1000 cells/s, orders of magnitude slower than the non-imaging flow cytometers. In this chapter, we introduce an entirely new imaging platform, namely optical time-stretch microscopy, for ultrahigh speed and high contrast label-free single-cell (in a ultrafast microfluidic flow up to 10 m/s) imaging and analysis with an ultra-fast imaging line-scan rate as high as tens of MHz. Based on this technique, not only morphological information of the individual cells can be obtained in an ultrafast manner, quantitative evaluation of cellular information (e.g., cell volume, mass, refractive index, stiffness, membrane tension) at nanometer scale based on the optical phase is also possible. The technology can also be integrated with conventional fluorescence measurements widely adopted in the non-imaging flow cytometers. Therefore, these two combinatorial and complementary measurement capabilities in long run is an attractive platform for addressing the pressing need for expanding the "parameter space" in high-throughput single-cell analysis. This chapter provides the general guidelines of constructing the optical system for time stretch imaging, fabrication and design of the microfluidic chip for ultrafast fluidic flow, as well as the image acquisition and processing.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Other 3 16%
Student > Master 2 11%
Lecturer 1 5%
Professor 1 5%
Other 3 16%
Unknown 4 21%
Readers by discipline Count As %
Medicine and Dentistry 5 26%
Nursing and Health Professions 4 21%
Biochemistry, Genetics and Molecular Biology 4 21%
Physics and Astronomy 1 5%
Agricultural and Biological Sciences 1 5%
Other 0 0%
Unknown 4 21%