A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data

HIGHLIGHTS

• who: Lopamudra Mukherjee from the University of Salamanca, Spain have published the Article: A deep learning framework for classifying microglia activation state using morphology and intrinsic fluorescence lifetime data, in the Journal: (JOURNAL)
• what: The authors propose an unified deep neural_network method to study the effect of both morphology as well as lifetime toward identifying the activation status of microglia. The authors aim to capture the changes in morphological characteristics of microglia, by obtaining a number of shape features, which are then concatenated and passed as input to a convolutional neural_network (CNN). (3) Third, the . . .
  

   

  

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