Journal article 1284 views
Nanoparticle vesicle encoding for imaging and tracking cell populations
,
John W Wills,
Rowan Brown ,
James Tonkin,
Mark D Holton,
Nicole Hondow,
Andrew P Brown,
Rik Brydson,
Val Millar,
Anne E Carpenter,
Huw Summers
Nature Methods, Volume: 11, Issue: 11, Pages: 1177 - 1181
Swansea University Authors:
Paul Rees , Rowan Brown , Huw Summers
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1038/nmeth.3105
Abstract
For phenotypic behavior to be understood in the context of cell lineage and local environment, properties of individual cells must be measured relative to population-wide traits. However, the inability to accurately identify, track and measure thousands of single cells via high-throughput microscopy...
| Published in: | Nature Methods |
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| ISSN: | 1548-7105 1548-7105 |
| Published: |
2014
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa20509 |
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| Abstract: |
For phenotypic behavior to be understood in the context of cell lineage and local environment, properties of individual cells must be measured relative to population-wide traits. However, the inability to accurately identify, track and measure thousands of single cells via high-throughput microscopy has impeded dynamic studies of cell populations. We demonstrate unique labeling of cells, driven by the heterogeneous random uptake of fluorescent nanoparticles of different emission colors. By sequentially exposing a cell population to different particles, we generated a large number of unique digital codes, which corresponded to the cell-specific number of nanoparticle-loaded vesicles and were visible within a given fluorescence channel. When three colors are used, the assay can self-generate over 17,000 individual codes identifiable using a typical fluorescence microscope. The color-codes provided immediate visualization of cell identity and allowed us to track human cells with a success rate of 78% across image frames separated by 8 h. |
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| College: |
Faculty of Science and Engineering |
| Issue: |
11 |
| Start Page: |
1177 |
| End Page: |
1181 |