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Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning
Identification of lymphocyte cell types are crucial for understanding their pathophysiological roles in human diseases. Current methods for discriminating lymphocyte cell types primarily rely on labelling techniques with magnetic beads or fluorescence agents, which take time and have costs for sampl...
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| Опубликовано в: : | Sci Rep |
|---|---|
| Главные авторы: | , , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Publishing Group UK
2017
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5532204/ https://ncbi.nlm.nih.gov/pubmed/28751719 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-017-06311-y |
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