CD4+ versus CD8+ T-lymphocyte identification in an integrated microfluidic chip using light scattering and machine learning

T lymphocytes are a group of cells representing the main effectors of human adaptive immunity. Characterization of the most representative T-lymphocyte subclasses, CD4+ and CD8+, is challenging, but has a significant impact on clinical decisions. Up to now, T lymphocytes have been identified by quit...

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Veröffentlicht in:	Lab on a chip 2019-11, Vol.19 (22), p.3888-3898
Hauptverfasser:	Rossi, Domenico, Dannhauser, David, Telesco, Mariarosaria, Netti, Paolo A, Causa, Filippo
Format:	Artikel
Sprache:	eng
Schlagworte:	Antibodies Artificial intelligence Data mining Evaluation HIV Human immunodeficiency virus Light scattering Lymphocytes Machine learning Microfluidics Nuclei (cytology) Refractivity Viruses Viscoelastic fluids
Online-Zugang:	Volltext
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