An automated Raman-based platform for the sorting of live cells by functional properties
- Submitting institution
-
University of Edinburgh
(joint submission with Heriot-Watt University)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 85701853
- Type
- D - Journal article
- DOI
-
10.1038/s41564-019-0394-9
- Title of journal
- Nature Microbiology
- Article number
- -
- First page
- 1035
- Volume
- 4
- Issue
- -
- ISSN
- 2058-5276
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
10
- Research group(s)
-
A - MM
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work introduced an optofluidic platform for automated sorting of labelled microbial cells, combining microfluidics, optical tweezing and Raman microspectroscopy. Microbiologists and cell biologists are now integrating this platform in studies where identifying key players in targeted processes is essential: https://doi.org/10.1038/s41596-020-00427-8. The technology developed in this paper was central to the New Investigator Award “McSynC: in vivo automatic Model calibration of Synthetic Circuits components” (EP/R035350/1, £169,368).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
