| Title |
Encapsulation of single cells on a microfluidic device integrating droplet generation with fluorescence-activated droplet sorting
|
|---|---|
| Published in |
Biomedical Microdevices, February 2013
|
| DOI | 10.1007/s10544-013-9754-z |
| Pubmed ID | |
| Authors |
Liang Wu, Pu Chen, Yingsong Dong, Xiaojun Feng, Bi-Feng Liu |
| Abstract |
Encapsulation of single cells is a challenging task in droplet microfluidics due to the random compartmentalization of cells dictated by Poisson statistics. In this paper, a microfluidic device was developed to improve the single-cell encapsulation rate by integrating droplet generation with fluorescence-activated droplet sorting. After cells were loaded into aqueous droplets by hydrodynamic focusing, an on-flight fluorescence-activated sorting process was conducted to isolate droplets containing one cell. Encapsulation of fluorescent polystyrene beads was investigated to evaluate the developed method. A single-bead encapsulation rate of more than 98 % was achieved under the optimized conditions. Application to encapsulate single HeLa cells was further demonstrated with a single-cell encapsulation rate of 94.1 %, which is about 200 % higher than those obtained by random compartmentalization. We expect this new method to provide a useful platform for encapsulating single cells, facilitating the development of high-throughput cell-based assays. |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 1% |
| Germany | 1 | <1% |
| United Arab Emirates | 1 | <1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| China | 1 | <1% |
| Unknown | 146 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 31% |
| Student > Master | 28 | 18% |
| Researcher | 15 | 10% |
| Student > Bachelor | 13 | 8% |
| Student > Doctoral Student | 8 | 5% |
| Other | 19 | 12% |
| Unknown | 23 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 56 | 37% |
| Agricultural and Biological Sciences | 23 | 15% |
| Biochemistry, Genetics and Molecular Biology | 16 | 10% |
| Chemistry | 11 | 7% |
| Chemical Engineering | 5 | 3% |
| Other | 13 | 8% |
| Unknown | 29 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 June 2019.
All research outputs
#4,592,957
of 22,757,090 outputs
Outputs from Biomedical Microdevices
#92
of 746 outputs
Outputs of similar age
#51,621
of 287,782 outputs
Outputs of similar age from Biomedical Microdevices
#1
of 8 outputs
Altmetric has tracked 22,757,090 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 746 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,782 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them