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

By Zhi Jian Wang and others
The importance of T cells in immunotherapy has motivated developing technologies to better characterize T cells and improve therapeutic efficacy. One specific 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 T cell activity states... Show more
October 29, 2019
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Classifying T cell activity in autofluorescence intensity images with convolutional neural networks
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