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: | , , |
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Formato: | article |
Lenguaje: | EN |
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Nature Portfolio
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/7752a033f33d43dea83c773f3e54baa9 |
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