Classifying T cell activity in autofluorescence intensity images with convolutional neural networks

The importance of T cells in immunotherapy has motivated developing technologies to improve therapeutic efficacy. One objective is assessing antigen‐induced T cell activation because only functionally active T cells are capable of killing the desired targets. Autofluorescence imaging can distinguish...

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Detalles Bibliográficos
Autores principales: Wang, Zijie J., Walsh, Alex J., Skala, Melissa C., Gitter, Anthony
Formato: Online Artículo Texto
Lenguaje:English
Publicado: WILEY‐VCH Verlag GmbH & Co. KGaA 2019
Materias:
Full Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065628/
https://www.ncbi.nlm.nih.gov/pubmed/31661592
http://dx.doi.org/10.1002/jbio.201960050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7065628/
https://www.ncbi.nlm.nih.gov/pubmed/31661592
http://dx.doi.org/10.1002/jbio.201960050

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