Classifying T cell activity in autofluorescence intensity images with convolutional neural networks
Abstract
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 T cell activity states in a non-destructive manner by detecting endogenous changes in metabolic co-enzymes such as NAD(P)H. However, recognizing...
Paper Details
Title
Classifying T cell activity in autofluorescence intensity images with convolutional neural networks
Published Date
Dec 15, 2019
Journal
Volume
13
Issue
3
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