Chapter title |
Imaging of Isolated Extracellular Vesicles Using Fluorescence Microscopy
|
---|---|
Chapter number | 19 |
Book title |
Extracellular Vesicles
|
Published in |
Methods in molecular biology, January 2017
|
DOI | 10.1007/978-1-4939-7253-1_19 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7251-7, 978-1-4939-7253-1
|
Authors |
Dmitry Ter-Ovanesyan, Emma J. K. Kowal, Aviv Regev, George M. Church, Emanuele Cocucci, Ter-Ovanesyan, Dmitry, Kowal, Emma J. K., Regev, Aviv, Church, George M., Cocucci, Emanuele |
Abstract |
High-resolution fluorescence microscopy approaches enable the study of single objects or biological complexes. Single object studies have the general advantage of uncovering heterogeneity that may be hidden during the ensemble averaging which is common in any bulk conventional biochemical analysis. The implementation of single object analysis in the study of extracellular vesicles (EVs) may therefore be used to characterize specific properties of vesicle subsets which would be otherwise undetectable. We present a protocol for staining isolated EVs with a fluorescent lipid dye and attaching them onto a glass slide in preparation for imaging with total internal reflection fluorescence microscopy (TIRF-M) or other high-resolution microscopy techniques. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 67 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 19 | 28% |
Researcher | 8 | 12% |
Student > Bachelor | 7 | 10% |
Other | 4 | 6% |
Student > Master | 4 | 6% |
Other | 8 | 12% |
Unknown | 17 | 25% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 20 | 30% |
Agricultural and Biological Sciences | 6 | 9% |
Neuroscience | 3 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
Engineering | 3 | 4% |
Other | 11 | 16% |
Unknown | 21 | 31% |