AIMC Topic: Microscopy, Electron

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A deep learning approach to identifying immunogold particles in electron microscopy images.

Scientific reports Apr 8, 2021
Electron microscopy (EM) enables high-resolution visualization of protein distributions in biological tissues. For detection, gold nanoparticles are typically used as an electron-dense marker for immunohistochemically labeled proteins. Manual annotat...
Image Processing, Computer-Assisted Mice Metal Nanoparticles Animals Deep Learning Microscopy, Electron Gold Colloid Brain
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CEM500K, a large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learning.

eLife Apr 8, 2021
Automated segmentation of cellular electron microscopy (EM) datasets remains a challenge. Supervised deep learning (DL) methods that rely on region-of-interest (ROI) annotations yield models that fail to generalize to unrelated datasets. Newer unsupe...
Deep Learning Image Processing, Computer-Assisted Microscopy, Electron
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Deep learning-based point-scanning super-resolution imaging.

Nature methods Mar 8, 2021
Point-scanning imaging systems are among the most widely used tools for high-resolution cellular and tissue imaging, benefiting from arbitrarily defined pixel sizes. The resolution, speed, sample preservation and signal-to-noise ratio (SNR) of point-...
Algorithms Deep Learning Microscopy, Electron Signal-To-Noise Ratio
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Deep learning for the classification of medical kidney disease: a pilot study for electron microscopy.

Ultrastructural pathology Feb 14, 2021
Artificial intelligence (AI) is a new frontier and often enigmatic for medical professionals. Cloud computing could open up the field of computer vision to a wider medical audience and deep learning on the cloud allows one to design, develop, train a...
Kidney Diseases Microscopy, Electron Deep Learning Pilot Projects Humans Artificial Intelligence
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DeepACSON automated segmentation of white matter in 3D electron microscopy.

Communications biology Feb 10, 2021
Tracing the entirety of ultrastructures in large three-dimensional electron microscopy (3D-EM) images of the brain tissue requires automated segmentation techniques. Current segmentation techniques use deep convolutional neural networks (DCNNs) and r...
Rats Brain Injuries, Traumatic Male Imaging, Three-Dimensional Predictive Value of Tests Mitochondria Image Interpretation, Computer-Assisted Rats, Sprague-Dawley Disease Models, Animal Reproducibility of Results Animals Artificial Intelligence White Matter Nerve Fibers, Myelinated Cell Nucleus Microscopy, Electron
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A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images.

Computer methods and programs in biomedicine Feb 2, 2021
BACKGROUND AND OBJECTIVE: Nanoparticles present properties that can be applied to a wide range of fields such as biomedicine, electronics or optics. The type of properties depends on several characteristics, being some of them related with the partic...
Neural Networks, Computer Deep Learning Nanoparticles Microscopy, Electron Image Processing, Computer-Assisted
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Dense cellular segmentation for EM using 2D-3D neural network ensembles.

Scientific reports Jan 28, 2021
Biologists who use electron microscopy (EM) images to build nanoscale 3D models of whole cells and their organelles have historically been limited to small numbers of cells and cellular features due to constraints in imaging and analysis. This has be...
Neural Networks, Computer Microscopy, Electron Imaging, Three-Dimensional Machine Learning Algorithms Image Processing, Computer-Assisted
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HIVE-Net: Centerline-aware hierarchical view-ensemble convolutional network for mitochondria segmentation in EM images.

Computer methods and programs in biomedicine Jan 10, 2021
BACKGROUND AND OBJECTIVE: With the advancement of electron microscopy (EM) imaging technology, neuroscientists can investigate the function of various intracellular organelles, e.g, mitochondria, at nano-scale. Semantic segmentation of electron micro...
Image Processing, Computer-Assisted Mitochondria Microscopy, Electron Neural Networks, Computer
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Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination.

NeuroImage Oct 6, 2020
The intra-axonal water exchange time (τ), a parameter associated with axonal permeability, could be an important biomarker for understanding and treating demyelinating pathologies such as Multiple Sclerosis. Diffusion-Weighted MRI (DW-MRI) is sensiti...
Monoamine Oxidase Inhibitors Cuprizone Disease Models, Animal Diffusion Magnetic Resonance Imaging Permeability Corpus Callosum Image Processing, Computer-Assisted Mice Monte Carlo Method White Matter Demyelinating Diseases Axons Computer Simulation Microscopy, Electron Animals Machine Learning
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Developing Electron Microscopy Tools for Profiling Plasma Lipoproteins Using Methyl Cellulose Embedment, Machine Learning and Immunodetection of Apolipoprotein B and Apolipoprotein(a).

International journal of molecular sciences Sep 2, 2020
Plasma lipoproteins are important carriers of cholesterol and have been linked strongly to cardiovascular disease (CVD). Our study aimed to achieve fine-grained measurements of lipoprotein subpopulations such as low-density lipoprotein (LDL), lipopro...
Microscopy, Electron Apoprotein(a) Apolipoproteins B Methylcellulose Humans Machine Learning
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