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Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy
Shiyi Cheng, Sipei Fu, Yumi Mun Kim, Weiye Song, Yunzhe Li, View ORCID ProfileYujia Xue, View ORCID ProfileJi Yi, View ORCID ProfileLei Tian
doi: https://doi.org/10.1101/2020.07.31.231613
Shiyi Cheng
1Department of Electrical and Computer Engineering, Boston University, Massachusetts 02215, USA
Sipei Fu
2Department of Biology, Boston University, Massachusetts 02215, USA
Yumi Mun Kim
3Department of Philosophy & Neuroscience, Boston University, Massachusetts 02215, USA
Weiye Song
5Department of Medicine, Boston University School of Medicine, Boston Medical Center, Massachusetts 02118, USA
Yunzhe Li
1Department of Electrical and Computer Engineering, Boston University, Massachusetts 02215, USA
Yujia Xue
1Department of Electrical and Computer Engineering, Boston University, Massachusetts 02215, USA
Ji Yi
1Department of Electrical and Computer Engineering, Boston University, Massachusetts 02215, USA
4Department of Biomedical Engineering, Boston University, Massachusetts 02215, USA
5Department of Medicine, Boston University School of Medicine, Boston Medical Center, Massachusetts 02118, USA
6Department of Biomedical Engineering and Ophthalmology, Johns Hopkins University, Baltimore 21231, USA
Lei Tian
1Department of Electrical and Computer Engineering, Boston University, Massachusetts 02215, USA
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Posted November 12, 2020.
Single-cell cytometry via multiplexed fluorescence prediction by label-free reflectance microscopy
Shiyi Cheng, Sipei Fu, Yumi Mun Kim, Weiye Song, Yunzhe Li, Yujia Xue, Ji Yi, Lei Tian
bioRxiv 2020.07.31.231613; doi: https://doi.org/10.1101/2020.07.31.231613
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