AIMC Topic: Microscopy, Electron

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DeepContact: High-throughput quantification of membrane contact sites based on electron microscopy imaging.

The Journal of cell biology Aug 5, 2022
Membrane contact site (MCS)-mediated organelle interactions play essential roles in the cell. Quantitative analysis of MCSs reveals vital clues for cellular responses under various physiological and pathological conditions. However, an efficient tool...
Deep Learning Mitochondria Cells, Cultured Endoplasmic Reticulum Mitochondrial Membranes Cell Membrane Microscopy, Electron
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Deep learning based domain adaptation for mitochondria segmentation on EM volumes.

Computer methods and programs in biomedicine Jun 14, 2022
BACKGROUND AND OBJECTIVE: Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning methods have led to major breakthroughs in ...
Microscopy, Electron Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted Mitochondria
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Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries.

Advanced materials (Deerfield Beach, Fla.) Apr 12, 2022
Machine learning is rapidly becoming an integral part of experimental physical discovery via automated and high-throughput synthesis, and active experiments in scattering and electron/probe microscopy. This, in turn, necessitates the development of a...
Humans Machine Learning Microscopy, Electron
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Electron microscopy of cardiac 3D nanodynamics: form, function, future.

Nature reviews. Cardiology Apr 8, 2022
The 3D nanostructure of the heart, its dynamic deformation during cycles of contraction and relaxation, and the effects of this deformation on cell function remain largely uncharted territory. Over the past decade, the first inroads have been made to...
Artificial Intelligence Algorithms Humans Microscopy, Electron
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Method for quantifying the reaction degree of slag in alkali-activated cements using deep learning-based electron microscopy image analysis.

Journal of microscopy Mar 17, 2022
In this paper, we present a methodology for measuring the reaction degree of ground granulated blast furnace slag (GGBFS) in alkali-activated cements using neural network based image analysis. The new methodology consists of an image analysis routine...
Microscopy, Electron Sodium Hydroxide Deep Learning Image Processing, Computer-Assisted Alkalies
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Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes.

Neuroinformatics Dec 2, 2021
Electron microscopy (EM) allows the identification of intracellular organelles such as mitochondria, providing insights for clinical and scientific studies. In recent years, a number of novel deep learning architectures have been published reporting ...
Reproducibility of Results Image Processing, Computer-Assisted Mitochondria Microscopy, Electron Humans Neural Networks, Computer
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CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy.

IEEE transactions on medical imaging Nov 30, 2021
Detecting synaptic clefts is a crucial step to investigate the biological function of synapses. The volume electron microscopy (EM) allows the identification of synaptic clefts by photoing EM images with high resolution and fine details. Machine lear...
Microscopy, Electron Machine Learning Brain Deep Learning Synapses
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Three-Dimensional Visualization of the Podocyte Actin Network Using Integrated Membrane Extraction, Electron Microscopy, and Machine Learning.

Journal of the American Society of Nephrology : JASN Nov 10, 2021
BACKGROUND: Actin stress fibers are abundant in cultured cells, but little is known about them . In podocytes, much evidence suggests that mechanobiologic mechanisms underlie podocyte shape and adhesion in health and in injury, with structural change...
Animals Imaging, Three-Dimensional Mice Mice, Inbred C57BL Actin Cytoskeleton Machine Learning Podocytes Models, Animal Microscopy, Electron
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Deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations.

Traffic (Copenhagen, Denmark) May 16, 2021
Advancements in volume electron microscopy mean it is now possible to generate thousands of serial images at nanometre resolution overnight, yet the gold standard approach for data analysis remains manual segmentation by an expert microscopist, resul...
Volunteers Deep Learning Microscopy, Electron Humans Nuclear Envelope HeLa Cells
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Decoding the microstructural properties of white matter using realistic models.

NeuroImage May 5, 2021
Multi-echo gradient echo (ME-GRE) magnetic resonance signal evolution in white matter has a strong dependence on the orientation of myelinated axons with respect to the main static field. Although analytical solutions have been able to predict some o...
Aged, 80 and over Computer Simulation Humans Neuroimaging Female Deep Learning Models, Theoretical Microscopy, Electron White Matter Feasibility Studies Magnetic Resonance Imaging Autopsy
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