Lindley, M., Gala de Pablo, J., Peterson, W. et al. (3 more authors) (2022) High‐Throughput Raman‐Activated Cell Sorting in the Fingerprint Region. Advanced Materials Technologies, 7 (10). 2101567. ISSN 2365-709X
Abstract
Cell sorting is the workhorse of biological research and medicine. Cell sorters are commonly used to sort heterogeneous cell populations based on their intrinsic features. Raman-activated cell sorting (RACS) has recently received considerable interest by virtue of its ability to discriminate cells by their intracellular chemical content, in a label-free manner. However, the broad deployment of RACS beyond lab-based demonstrations is hindered by a fundamental trade-off between throughput and measurement bandwidth (i.e., cellular information content). Here this trade-off is overcome and broadband RACS in the fingerprint region (300–1600 cm−1) with a record high throughput of ≈50 cells per second is demonstrated. This represents a 25× throughput increase compared to previous demonstrations of broadband fingerprint-region RACS outside the resonance Raman regime. To show the utility of the RACS, real-time label-free sorting of microalgal cells based on their accumulation of carotenoids and polysaccharide granules is demonstrated. These results hold promise for medical, biofuel, and bioplastic applications.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | cell sorting; flow cytometry; high-throughput analysis; microalgae; microfluidics; Raman spectroscopy |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Physics and Astronomy (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 23 Jan 2025 17:27 |
Last Modified: | 23 Jan 2025 17:27 |
Status: | Published |
Publisher: | Wiley |
Identification Number: | 10.1002/admt.202101567 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:222077 |