AIMC Topic: Axons

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Deep learning for high-throughput quantification of oligodendrocyte ensheathment at single-cell resolution.

Communications biology Mar 26, 2019
High-throughput quantification of oligodendrocyte myelination is a challenge that, if addressed, would facilitate the development of therapeutics to promote myelin protection and repair. Here, we established a high-throughput method to assess oligode...
Axons Nanofibers Oligodendrocyte Precursor Cells Oligodendroglia Cell Differentiation Data Accuracy Myelin Sheath Brain Animals Rats Rats, Sprague-Dawley Deep Learning Single-Cell Analysis
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Morphometric analysis of peripheral myelinated nerve fibers through deep learning.

Journal of the peripheral nervous system : JPNS Dec 11, 2018
Irrespective of initial causes of neurological diseases, these disorders usually exhibit two key pathological changes-axonal loss or demyelination or a mixture of the two. Therefore, vigorous quantification of myelin and axons is essential in studyin...
Animals Nerve Fibers, Myelinated Mice, Knockout Microscopy Axons Deep Learning Pattern Recognition, Automated Mice Mice, Inbred C57BL
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Fibroblast growth factor23 is associated with axonal integrity and neural network architecture in the human frontal lobes.

PloS one Sep 7, 2018
Elevated levels of FGF23 in individuals with chronic kidney disease (CKD) are associated with adverse health outcomes, such as increased mortality, large vessel disease, and reduced white matter volume, cardiovascular and cerebrovascular events. Apar...
Humans Neural Networks, Computer Magnetic Resonance Imaging Vascular Stiffness Fibroblast Growth Factor-23 Endothelium, Vascular White Matter Fibroblast Growth Factors Axons Cardiovascular Diseases Middle Aged Cohort Studies Vascular Calcification Renal Insufficiency, Chronic Female Frontal Lobe Risk Factors Male
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Assessing functional connectivity across 3D tissue engineered axonal tracts using calcium fluorescence imaging.

Journal of neural engineering Jun 1, 2018
OBJECTIVE: Micro-tissue engineered neural networks (micro-TENNs) are anatomically-inspired constructs designed to structurally and functionally emulate white matter pathways in the brain. These 3D neural networks feature long axonal tracts spanning d...
Neurons Calcium Axons Neuroimaging Animals Fluorescence Rats Entropy Theta Rhythm Delta Rhythm Tissue Engineering Cerebral Cortex Neural Pathways Pregnancy Female Neural Networks, Computer
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AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks.

Scientific reports Feb 28, 2018
Segmentation of axon and myelin from microscopy images of the nervous system provides useful quantitative information about the tissue microstructure, such as axon density and myelin thickness. This could be used for instance to document cell morphom...
Microscopy Myelin Sheath Axons Automation Software Animals Image Processing, Computer-Assisted Mice Neural Networks, Computer
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Automated quantification of three-dimensional organization of fiber-like structures in biological tissues.

Biomaterials Nov 25, 2016
Fiber-like structures are prevalent in biological tissues, yet quantitative approaches to assess their three-dimensional (3D) organization are lacking. We develop 3D directional variance, as a quantitative biomarker of truly 3D fibrillar organization...
Imaging, Three-Dimensional Axons Image Interpretation, Computer-Assisted Elastic Tissue Fibrillar Collagens Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Humans
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Automated tracing of myelinated axons and detection of the nodes of Ranvier in serial images of peripheral nerves.

Journal of microscopy Jun 12, 2015
The development of realistic neuroanatomical models of peripheral nerves for simulation purposes requires the reconstruction of the morphology of the myelinated fibres in the nerve, including their nodes of Ranvier. Currently, this information has to...
Algorithms Animals Vagus Nerve Axons Ranvier's Nodes Datasets as Topic Microscopy, Electron Peripheral Nerves Imaging, Three-Dimensional Rats Supervised Machine Learning
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Developmental time windows for axon growth influence neuronal network topology.

Biological cybernetics Jan 30, 2015
Early brain connectivity development consists of multiple stages: birth of neurons, their migration and the subsequent growth of axons and dendrites. Each stage occurs within a certain period of time depending on types of neurons and cortical layers....
Embryo, Nonmammalian Cell Division Caenorhabditis elegans Models, Neurological Neurogenesis Axons Neural Networks, Computer Time Synapses Computer Simulation Animals
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Classifying GABAergic interneurons with semi-supervised projected model-based clustering.

Artificial intelligence in medicine Jan 2, 2015
OBJECTIVES: A recently introduced pragmatic scheme promises to be a useful catalog of interneuron names. We sought to automatically classify digitally reconstructed interneuronal morphologies according to this scheme. Simultaneously, we sought to dis...
Humans Artificial Intelligence Interneurons Dendrites Cluster Analysis Axons GABAergic Neurons
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A guide to CNN-based dense segmentation of neuronal EM images.

Microscopy (Oxford, England) Jun 26, 2025
Large-scale reconstitution of neuronal circuits from volumetric electron microscopy images is a remarkable research goal in neuroanatomy. However, the large-scale reconstruction is a result of automatic segmentation using convolutional neural network...
Image Processing, Computer-Assisted Neurons Humans Axons Neural Networks, Computer Microscopy, Electron Animals
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