AIMC Topic: Neurites

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NeuroQuantify - An image analysis software for detection and quantification of neuron cells and neurite lengths using deep learning.

Journal of neuroscience methods Aug 27, 2024
BACKGROUND: The segmentation of cells and neurites in microscopy images of neuronal networks provides valuable quantitative information about neuron growth and neuronal differentiation, including the number of cells, neurites, neurite length and neur...
Humans Software Neurons Neurites Microscopy, Phase-Contrast Deep Learning Animals Image Processing, Computer-Assisted
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NeuroConstruct: 3D Reconstruction and Visualization of Neurites in Optical Microscopy Brain Images.

IEEE transactions on visualization and computer graphics Oct 26, 2022
We introduce NeuroConstruct, a novel end-to-end application for the segmentation, registration, and visualization of brain volumes imaged using wide-field microscopy. NeuroConstruct offers a Segmentation Toolbox with various annotation helper functio...
Neurites Computer Graphics Imaging, Three-Dimensional Image Processing, Computer-Assisted Microscopy Neural Networks, Computer Brain
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DIFFnet: Diffusion Parameter Mapping Network Generalized for Input Diffusion Gradient Schemes and b-Value.

IEEE transactions on medical imaging Feb 2, 2022
In MRI, deep neural networks have been proposed to reconstruct diffusion model parameters. However, the inputs of the networks were designed for a specific diffusion gradient scheme (i.e., diffusion gradient directions and numbers) and a specific b-v...
Humans Neurites Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Brain Magnetic Resonance Imaging Neural Networks, Computer
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Image-based deep learning reveals the responses of human motor neurons to stress and VCP-related ALS.

Neuropathology and applied neurobiology Oct 18, 2021
AIMS: Although morphological attributes of cells and their substructures are recognised readouts of physiological or pathophysiological states, these have been relatively understudied in amyotrophic lateral sclerosis (ALS) research.
Motor Neurons Induced Pluripotent Stem Cells Amyotrophic Lateral Sclerosis Neurites Phenotype Deep Learning Humans
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NeuriteNet: A convolutional neural network for assessing morphological parameters of neurite growth.

Journal of neuroscience methods Sep 2, 2021
BACKGROUND: During development or regeneration, neurons extend processes (i.e., neurites) via mechanisms that can be readily analyzed in culture. However, defining the impact of a drug or genetic manipulation on such mechanisms can be challenging due...
Neurites Neurogenesis Animals Mice Neurons Neural Networks, Computer
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Analysis of neurite length of hippocampal neurons cultured into 3D artificial network patterned microfluidic chips.

The International journal of neuroscience Feb 28, 2020
The study aims to lay a foundational probe for the thorough application microfluidic chips in brain function research with microfluidic chips. Neuron slide culture is a common culture method , and the microfluidic chip with the artificial network pa...
Cell Culture Techniques Rats Neurons Hippocampus Neural Networks, Computer Imaging, Three-Dimensional Neurites Animals Microfluidics
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Neuronal survival of DRG neurons after neurite transection in vitro promotes by nerve growth factor and brain derived neurotrophic factor.

Cellular and molecular biology (Noisy-le-Grand, France) Dec 31, 2018
Neurotrophic factors are growth factors that promote neuronal survival, regulate synaptic function and neurotransmitter release, and promote the plasticity and growth of axons in the peripheral and central nervous systems. This study focused on the r...
Ganglia, Spinal Nerve Growth Factor Cell Survival Mice, Inbred BALB C Animals Neurites Brain-Derived Neurotrophic Factor Axotomy
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Simultaneous NODDI and GFA parameter map generation from subsampled q-space imaging using deep learning.

Magnetic resonance in medicine Nov 13, 2018
PURPOSE: To develop a robust multidimensional deep-learning based method to simultaneously generate accurate neurite orientation dispersion and density imaging (NODDI) and generalized fractional anisotropy (GFA) parameter maps from undersampled q-spa...
Deep Learning Imaging, Three-Dimensional Stroke Brain Ischemia Treatment Outcome Aged Male Middle Aged Diffusion Magnetic Resonance Imaging Algorithms Humans Female Neurites Brain Neural Networks, Computer Reproducibility of Results Anisotropy Prognosis
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Accelerating Convolutional Sparse Coding for Curvilinear Structures Segmentation by Refining SCIRD-TS Filter Banks.

IEEE transactions on medical imaging May 17, 2016
Deep learning has shown great potential for curvilinear structure (e.g., retinal blood vessels and neurites) segmentation as demonstrated by a recent auto-context regression architecture based on filter banks learned by convolutional sparse coding. H...
Image Interpretation, Computer-Assisted Neurites Retinal Vessels Algorithms Image Processing, Computer-Assisted Humans Neural Networks, Computer
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A deep learning approach for automation in neurite tracing and cell size estimation from differential contrast images under healthy and hypoxic condition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2023
Chronic hypoxia is known to be a major cause of neurite length retraction followed be degeneration. Specifically, laser scanning confocal microscopy (LSCM) based-contrast imaging is used for monitoring neuronal morphology under hypoxic condition. Alt...
Cell Size Automation Neurites Deep Learning Hypoxia Humans
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