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

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

Microglia are the immune cell in the central nervous system (CNS) and exist in a surveillant state characterized by a ramified form in the healthy brain. In response to brain injury or disease including neurodegenerative diseases, they become activated and change their morphology. Due to known corre...

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Bibliographic Details
Main Authors: Lopamudra Mukherjee, Md Abdul Kader Sagar, Jonathan N. Ouellette, Jyoti J. Watters, Kevin W. Eliceiri
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-12-01
Series:Frontiers in Neuroinformatics
Subjects:
microglia activation state
deep learning
fluorescence lifetime
morphology
LSTM
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2022.1040008/full

Internet

https://www.frontiersin.org/articles/10.3389/fninf.2022.1040008/full

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