A novel automated morphological analysis of Iba1+ microglia using a deep learning assisted model

A novel automated morphological analysis of Iba1+ microglia using a deep learning assisted model

There is growing evidence for the key role of microglial functional state in brain pathophysiology. Consequently, there is a need for efficient automated methods to measure the morphological changes distinctive of microglia functional states in research settings. Currently, many commonly used automa...

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Bibliographic Details
Main Authors: Lucas Stetzik, Gabriela Mercado, Lindsey Smith, Sonia George, Emmanuel Quansah, Katarzyna Luda, Emily Schulz, Lindsay Meyerdirk, Allison Lindquist, Alexis Bergsma, Russell G. Jones, Lena Brundin, Michael X. Henderson, John Andrew Pospisilik, Patrik Brundin
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Cellular Neuroscience
Subjects:
deep learning
microglia
Parkinson’s disease
viral infection
olfactory dysfunction
synuclein
Online Access:https://www.frontiersin.org/articles/10.3389/fncel.2022.944875/full

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