Publications

Detailed Information

User-friendly image-activated microfluidic cell sorting technique using an optimized, fast deep learning algorithm

Cited 31 time in Web of Science Cited 34 time in Scopus
Authors

Lee, Keondo; Kim, Seong-Eun; Doh, Junsang; Kim, Keehoon; Chung, Wan Kyun

Issue Date
2021-05
Publisher
Royal Society of Chemistry
Citation
Lab on a Chip - Miniaturisation for Chemistry and Biology, Vol.21 No.9, pp.1798-1810
Abstract
Image-activated cell sorting is an essential biomedical research technique for understanding the unique characteristics of single cells. Deep learning algorithms can be used to extract hidden cell features from high-content image information to enable the discrimination of cell-to-cell differences in image-activated cell sorters. However, such systems are challenging to implement from a technical perspective due to the advanced imaging and sorting requirements and the long processing times of deep learning algorithms. Here, we introduce a user-friendly image-activated microfluidic sorting technique based on a fast deep learning model under the TensorRT framework to enable sorting decisions within 3 ms. The proposed sorter employs a significantly simplified operational procedure based on the use of a syringe connected to a piezoelectric actuator. The sorter has a 2.5 ms latency. The utility of the sorter was demonstrated through real-time sorting of fluorescent polystyrene beads and cells. The sorter achieved 98.0%, 95.1%, and 94.2% sorting purities for 15 mu m and 10 mu m beads, HL-60 and Jurkat cells, and HL-60 and K562 cells, respectively, with a throughput of up to 82.8 events per second (eps).
ISSN
1473-0197
URI
https://hdl.handle.net/10371/202461
DOI
https://doi.org/10.1039/d0lc00747a
Files in This Item:
There are no files associated with this item.
Appears in Collections:

Related Researcher

  • College of Engineering
  • Department of Materials Science & Engineering
Research Area Ex Vivo Models, Lymphocyte Biology, Smart Biomaterials

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share