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Proceedings Paper

2D image-guided cell sorter and 3D imaging flow cytometer
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Paper Abstract

Cell type classification and isolation according to imaging and spatial characteristics, beyond traditional fluorescently labeled biomarkers, enable the development of new biological insight and establishment of connections between phenotypical, morphological, and genomic cell information in normal and diseased states. Here we demonstrate a 2D image-guided cell sorter and a 3D imaging flow cytometer using fast scanning laser excitation sources. Both systems feature a cameraless design, which reconstructs cell images from the temporal readout of photomultiplier tubes.

Paper Details

Date Published: 20 February 2020
PDF: 13 pages
Proc. SPIE 11250, High-Speed Biomedical Imaging and Spectroscopy V, 112500H (20 February 2020); doi: 10.1117/12.2547689
Show Author Affiliations
Rui Tang, Univ. of California, San Diego (United States)
Xinyu Chen, Univ. of California, San Diego (United States)
Zunming Zhang, Univ. of California, San Diego (United States)
Lauren Waller, Univ. of California, San Diego (United States)
Jiajie Chen, Univ. of California, San Diego (United States)
Yi Gu, Univ. of California, San Diego (United States)
Yuanyuan Han, Univ. of California, San Diego (United States)
Chang-Hung Lee, NanoCellect Biomedical, Inc. (United States)
Ivan Gagne, NanoCellect Biomedical, Inc. (United States)
Alex Ce Zhang, Univ. of California, San Diego (United States)
Sung Hwan Cho, NanoCellect Biomedical, Inc. (United States)
Yu-Hwa Lo, Univ. of California, San Diego (United States)


Published in SPIE Proceedings Vol. 11250:
High-Speed Biomedical Imaging and Spectroscopy V
Kevin K. Tsia; Keisuke Goda, Editor(s)

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