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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yoon, Jonghee, Jo, YoungJu, Kim, Min-hyeok, Kim, Kyoohyun, Lee, SangYun, Kang, Suk-Jo, Park, YongKeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532204/
https://www.ncbi.nlm.nih.gov/pubmed/28751719
http://dx.doi.org/10.1038/s41598-017-06311-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5532204/
https://www.ncbi.nlm.nih.gov/pubmed/28751719
http://dx.doi.org/10.1038/s41598-017-06311-y

Ejemplares similares