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Image-guided cell sorting using fast scanning lasers

delete2020-04-01
delete17
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OA
AI
X
Xinyu Chen
Y
Yi Gu
J
Jiajie Chen
C
Chang-Hung Lee
I
Ivan Gagne
唐
唐蕊华 (Rui Tang)
L
Lauren Waller
Z
Zunming Zhang
A
Alex Ce Zhang
Y
Yuanyuan Han
W
Weian Wang
I
Ian Lian
S
Sung Hwan Cho
Y
Yu‐Hwa Lo *
DOI:10.1063/1.5144117delete
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Abstract

Abstract

En 中文
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.
Keywords:
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PROTEIN
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Journal

APL Photonics cover
APL Photonics
IF:
5.3
Papers:
1.5K
Citations:
5.5K

Organization

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University of California System
Scholars:
37.7W
Papers: 33.8W
Citations: 6.6K
U
University of California San Diego
Scholars:
4.6W
Papers: 3.5W
Citations: 924
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