Rapid, label-free classification of tumor-reactive T cell killing with quantitative phase microscopy and machine learning

Abstract Quantitative phase microscopy (QPM) enables studies of living biological systems without exogenous labels. To increase the utility of QPM, machine-learning methods have been adapted to extract additional information from the quantitative phase data. Previous QPM approaches focused on fluid...

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Autores principales: Diane N. H. Kim, Alexander A. Lim, Michael A. Teitell
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/7752a033f33d43dea83c773f3e54baa9
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