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Image-guided cell sorting using fast scanning lasers

Authors :
Xinyu Chen
Yi Gu
Jiajie Chen
Chang-Hung Lee
Ivan Gagne
Rui Tang
Lauren Waller
Zunming Zhang
Alex Ce Zhang
Yuanyuan Han
Weian Wang
Ian Y. Lian
Sung Hwan Cho
Yu-Hwa Lo
Source :
APL Photonics, Vol 5, Iss 4, Pp 040801-040801-11 (2020)
Publication Year :
2020
Publisher :
AIP Publishing LLC, 2020.

Abstract

Classification of cell types and isolation of targeted cells according to their imaging and spatial characteristics, beyond traditional fluorescently labeled biomarkers, enable the development of new biological insight and establishment of connections between phenotypical and morphological, and genomic cell information in normal and diseased states. Here, we demonstrate a microfluidic flow cytometer cell sorter that uses fast scanning laser excitation sources and photomultiplier tubes (PMTs), coupled with real-time image processing, to image and sort cells based on user-defined spatial features. Dozens of features, including label-free characteristics such as size, shape, scattering pattern, morphology, as well as the spatial distribution of fluorescently labeled biomarkers, greatly expand the available information space in cell analysis. The use of a disposable microfluidic cartridge that is compatible with the imaging system contributes to size reduction and lowered risk of cross contamination. The so-called cameraless design that uses PMTs to replace CCD makes the system more compatible with conventional fluorescence-activated cell sorters and user friendly, while enjoying the sensitivity and benefits of PMTs. The cell image features can be directly extracted from the temporal waveforms or from the reconstructed cell images via temporal–spatial transformation.

Details

Language :
English
ISSN :
23780967
Volume :
5
Issue :
4
Database :
Directory of Open Access Journals
Journal :
APL Photonics
Publication Type :
Academic Journal
Accession number :
edsdoj.f19382953d544f71826954b2cb010df6
Document Type :
article
Full Text :
https://doi.org/10.1063/1.5144117