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- Publisher Website: 10.1002/smll.201902889
- Scopus: eid_2-s2.0-85071110480
- PMID: 31448532
- WOS: WOS:000482639800001
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Article: On‐Demand Droplet Collection for Capturing Single Cells
Title | On‐Demand Droplet Collection for Capturing Single Cells |
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Authors | |
Keywords | Droplet microfluidics Quantitative collection Single cell |
Issue Date | 2020 |
Publisher | Wiley - V C H Verlag GmbH & Co KGaA. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jabout/107640323/2421_info.html |
Citation | Small, 2020, v. 16 n. 9, article no. 1902889 How to Cite? |
Abstract | Droplet‐based microfluidic techniques are extensively used in efficient manipulation and genome‐wide analysis of individual cells, probing the heterogeneity among populations of individuals. However, the extraction and isolation of single cells from individual droplets remains difficult due to the inevitable sample loss during processing. Herein, an automated system for accurate collection of defined numbers of droplets containing single cells is presented. Based on alternate sorting and dispensing in three branch channels, the droplet number can be precisely controlled down to single‐droplet resolution. While encapsulating single cells and reserving one branch as a waste channel, sorting can be seamlessly integrated to enable on‐demand collection of single cells. Combined with a lossless recovery strategy, this technique achieves capture and culture of individual cells with a harvest rate of over 95%. The on‐demand droplet collection technique has great potential to realize quantitative processing and analysis of single cells for elucidating the role of cell‐to‐cell variations. |
Persistent Identifier | http://hdl.handle.net/10722/277488 |
ISSN | 2023 Impact Factor: 13.0 2023 SCImago Journal Rankings: 3.348 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Nan, L | - |
dc.contributor.author | Lai, MYA | - |
dc.contributor.author | Tang, MYH | - |
dc.contributor.author | Chan, YK | - |
dc.contributor.author | Poon, LLM | - |
dc.contributor.author | Shum, HC | - |
dc.date.accessioned | 2019-09-20T08:52:01Z | - |
dc.date.available | 2019-09-20T08:52:01Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Small, 2020, v. 16 n. 9, article no. 1902889 | - |
dc.identifier.issn | 1613-6810 | - |
dc.identifier.uri | http://hdl.handle.net/10722/277488 | - |
dc.description.abstract | Droplet‐based microfluidic techniques are extensively used in efficient manipulation and genome‐wide analysis of individual cells, probing the heterogeneity among populations of individuals. However, the extraction and isolation of single cells from individual droplets remains difficult due to the inevitable sample loss during processing. Herein, an automated system for accurate collection of defined numbers of droplets containing single cells is presented. Based on alternate sorting and dispensing in three branch channels, the droplet number can be precisely controlled down to single‐droplet resolution. While encapsulating single cells and reserving one branch as a waste channel, sorting can be seamlessly integrated to enable on‐demand collection of single cells. Combined with a lossless recovery strategy, this technique achieves capture and culture of individual cells with a harvest rate of over 95%. The on‐demand droplet collection technique has great potential to realize quantitative processing and analysis of single cells for elucidating the role of cell‐to‐cell variations. | - |
dc.language | eng | - |
dc.publisher | Wiley - V C H Verlag GmbH & Co KGaA. The Journal's web site is located at http://www3.interscience.wiley.com/cgi-bin/jabout/107640323/2421_info.html | - |
dc.relation.ispartof | Small | - |
dc.subject | Droplet microfluidics | - |
dc.subject | Quantitative collection | - |
dc.subject | Single cell | - |
dc.title | On‐Demand Droplet Collection for Capturing Single Cells | - |
dc.type | Article | - |
dc.identifier.email | Tang, MYH: sdmt99@connect.hku.hk | - |
dc.identifier.email | Chan, YK: josephyk@connect.hku.hk | - |
dc.identifier.email | Poon, LLM: llmpoon@hkucc.hku.hk | - |
dc.identifier.email | Shum, HC: ashum@hku.hk | - |
dc.identifier.authority | Chan, YK=rp02536 | - |
dc.identifier.authority | Poon, LLM=rp00484 | - |
dc.identifier.authority | Shum, HC=rp01439 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1002/smll.201902889 | - |
dc.identifier.pmid | 31448532 | - |
dc.identifier.scopus | eid_2-s2.0-85071110480 | - |
dc.identifier.hkuros | 305917 | - |
dc.identifier.volume | 16 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | article no. 1902889 | - |
dc.identifier.epage | article no. 1902889 | - |
dc.identifier.isi | WOS:000482639800001 | - |
dc.publisher.place | Germany | - |
dc.identifier.issnl | 1613-6810 | - |