Article

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

2022-03-14

Abstract excerpt

There is growing evidence for the key role of microglial activation 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 automated methods can be subject to sample representation bias, time consuming imaging, specific hardware requirements, and diffi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e2c0fa05-5df9-5ed1-8a6b-0a17d7c6e388
DOI: 10.1101/2022.03.11.483994

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A novel automated morphological analysis of microglia activation using a deep learning assisted modelDOI 10.1101/2022.03.11.483994Read

Mapping human microglial morphological diversity via handcrafted and deep learning-derived image featuresSemantic proximity Read

An image segmentation pipeline optimized for human microglia uncovers sources of morphological diversity in Alzheimer’s diseaseSemantic proximity Read

Automated image segmentation uncovers the role of CD74 high human microglia in cognitive declineSemantic proximity Read

Automated image segmentation uncovers the role of CD74 <sup>high</sup> human microglia in cognitive declineSemantic proximity Read

Unmasking Early Microglial Remodeling in an Alzheimer’s Disease Mouse ModelSemantic proximity Read

Spatially-resolved integration of microglia morphological diversity and gene expression using Visium with protein co-detectionSemantic proximity Read

Morphometric characterization of microglial phenotypes in human cerebral cortex.Semantic proximity Read

A tool for mapping microglial morphology, morphOMICs, reveals brain-region and sex-dependent phenotypes.Semantic proximity Read

Microglia phenotypes are associated with subregional patterns of concomitant tau, amyloid-β and α-synuclein pathologies in the hippocampus of patients with Alzheimer's disease and dementia with Lewy bodies.Semantic proximity Read

MIC-MAC: High-throughput analysis of three-dimensional microglia morphology in mammalian brainsSemantic proximity Read

Microglial MorphOMICs unravel region- and sex-dependent morphological phenotypes from postnatal development to degenerationSemantic proximity Read

Unraveling Microglial Spatial Organization in the Developing Human Brain with DeepCellMap, a Deep Learning Approach Coupled to Spatial StatisticsSemantic proximity Read