期刊
NATURE METHODS
卷 11, 期 11, 页码 1177-1181出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.3105
关键词
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资金
- Engineering and Physical Sciences Research Council, UK [EP/H008683/1]
- Engineering and Physical Sciences Research Council, UK International Collaboration Sabbatical scheme [EP/J00619X/1]
- European Regional Development Funded, Swansea Centre for Nanohealth (CNH)
- EPSRC [EP/H008578/1, EP/M000621/1, EP/H008683/1, EP/J00619X/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/H008683/1, EP/J00619X/1, EP/H008578/1, EP/M000621/1] Funding Source: researchfish
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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