AIMC Topic: Microglia

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Structure-aware machine learning identifies microRNAs operating as Toll-like receptor 7/8 ligands.

RNA biology Jul 9, 2021
MicroRNAs (miRNAs) can serve as activation signals for membrane receptors, a recently discovered function that is independent of the miRNAs' conventional role in post-transcriptional gene regulation. Here, we introduce a machine learning approach, Br...
Humans Machine Learning Animals Toll-Like Receptor 7 Ligands Toll-Like Receptor 8 Gene Expression Regulation Mice Microglia MicroRNAs Mice, Inbred C57BL Oligonucleotides
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Utilizing supervised machine learning to identify microglia and astrocytes in situ: implications for large-scale image analysis and quantification.

Journal of neuroscience methods Sep 5, 2019
BACKGROUND: The evaluation of histological tissue samples plays a crucial role in deciphering preclinical disease and injury mechanisms. High-resolution images can be obtained quickly however data acquisition are often bottlenecked by manual analysis...
Neurosciences Astrocytes Supervised Machine Learning Microglia Fluorescent Antibody Technique Histological Techniques Animals, Genetically Modified Image Processing, Computer-Assisted Mice Rats Sensitivity and Specificity Reproducibility of Results Animals
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Automatic ground truth for deep learning stereology of immunostained neurons and microglia in mouse neocortex.

Journal of chemical neuroanatomy Mar 2, 2019
Collection of unbiased stereology data currently relies on relatively simple, low throughput technology developed in the mid-1990s. In an effort to improve the accuracy and efficiency of these integrated hardware-software-digital microscopy systems, ...
Deep Learning Image Processing, Computer-Assisted Mice Animals Microglia Histological Techniques Neurons Cell Count Neocortex
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Deep learning assisted quantitative analysis of Aβ and microglia in patients with idiopathic normal pressure hydrocephalus in relation to cognitive outcome.

Journal of neuropathology and experimental neurology Nov 1, 2024
Neuropathologic changes of Alzheimer disease (AD) including Aβ accumulation and neuroinflammation are frequently observed in the cerebral cortex of patients with idiopathic normal pressure hydrocephalus (iNPH). We created an automated analysis platfo...
Aged Aged, 80 and over Male Retrospective Studies Female Amyloid beta-Peptides Alzheimer Disease Humans Hydrocephalus, Normal Pressure Cognition Microglia Deep Learning
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Machine Learning-Supported Analyses Improve Quantitative Histological Assessments of Amyloid-β Deposits and Activated Microglia.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: Detailed pathology analysis and morphological quantification is tedious and prone to errors. Automatic image analysis can help to increase objectivity and reduce time. Here, we present the evaluation of the DeePathology STUDIO™ for automa...
Mice Disease Models, Animal Microglia Animals Image Processing, Computer-Assisted Mice, Transgenic Plaque, Amyloid Alzheimer Disease Machine Learning
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Gene Ontology Curation of Neuroinflammation Biology Improves the Interpretation of Alzheimer's Disease Gene Expression Data.

Journal of Alzheimer's disease : JAD Jan 1, 2020
BACKGROUND: Gene Ontology (GO) is a major bioinformatic resource used for analysis of large biomedical datasets, for example from genome-wide association studies, applied universally across biological fields, including Alzheimer's disease (AD) resear...
Alzheimer Disease Molecular Sequence Annotation Encephalitis Gene Ontology Computational Biology Microglia Gene Expression Humans
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An End-to-end System for Automatic Characterization of Iba1 Immunopositive Microglia in Whole Slide Imaging.

Neuroinformatics Jul 1, 2019
Traumatic brain injury (TBI) is one of the leading causes of death and disability worldwide. Detailed studies of the microglial response after TBI require high throughput quantification of changes in microglial count and morphology in histological se...
Brain Injuries, Traumatic Mice, Inbred C57BL White Matter Microglia Deep Learning Image Processing, Computer-Assisted Mice Brain Animals
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[The Protective Effect of Tanshinone IIA on Oxygen-glucose Deprivation and Reperfusion Injury of MicrogliaThrough the NLRP3 Inflammatory Signaling Pathway].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition Sep 1, 2016
OBJECTIVES: To investigate the protective effect of Tanshinone IIA (TSA) on oxygen-glucose deprivation and reperfusion (OGD/R) injury of BV-2 cell and its NLRP3 inflammatory signaling pathway.
Microglia Abietanes Mice Reperfusion Injury Signal Transduction NLR Family, Pyrin Domain-Containing 3 Protein Cytokines Oxygen Cell Line Glucose Animals
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