AIMC Topic: Microscopy, Electron

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Exploring the World of Membrane Proteins: Techniques and Methods for Understanding Structure, Function, and Dynamics.

Molecules (Basel, Switzerland) Oct 19, 2023
In eukaryotic cells, membrane proteins play a crucial role. They fall into three categories: intrinsic proteins, extrinsic proteins, and proteins that are essential to the human genome (30% of which is devoted to encoding them). Hydrophobic interacti...
Humans Artificial Intelligence Crystallography, X-Ray Cryoelectron Microscopy Membrane Proteins Microscopy, Electron
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Plantorganelle Hunter is an effective deep-learning-based method for plant organelle phenotyping in electron microscopy.

Nature plants Sep 25, 2023
Accurate delineation of plant cell organelles from electron microscope images is essential for understanding subcellular behaviour and function. Here we develop a deep-learning pipeline, called the organelle segmentation network (OrgSegNet), for pixe...
Deep Learning Microscopy, Electron Chloroplasts Mitochondria Cell Nucleus
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Using DeepContact with Amira graphical user interface.

STAR protocols Sep 16, 2023
DeepContact is a deep learning software for high-throughput quantification of membrane contact site (MCS) in 2D electron microscopy images. This protocol will guide users through incorporating available DeepContact models in Amira's artificial intell...
Microscopy, Electron Software Algorithms Artificial Intelligence
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Adaptive Ensemble Refinement of Protein Structures in High Resolution Electron Microscopy Density Maps with Radical Augmented Molecular Dynamics Flexible Fitting.

Journal of chemical information and modeling Sep 4, 2023
Recent advances in cryo-electron microscopy (cryo-EM) have enabled modeling macromolecular complexes that are essential components of the cellular machinery. The density maps derived from cryo-EM experiments are often integrated with manual, knowledg...
Cryoelectron Microscopy Adenylate Kinase Artificial Intelligence Molecular Dynamics Simulation Microscopy, Electron
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Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey.

Medical image analysis Aug 6, 2023
Electron microscopy (EM) enables high-resolution imaging of tissues and cells based on 2D and 3D imaging techniques. Due to the laborious and time-consuming nature of manual segmentation of large-scale EM datasets, automated segmentation approaches a...
Microscopy, Electron Image Processing, Computer-Assisted Humans Algorithms Deep Learning Imaging, Three-Dimensional
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Deep learning-based multi-model approach on electron microscopy image of renal biopsy classification.

BMC nephrology May 9, 2023
BACKGROUND: Electron microscopy is important in the diagnosis of renal disease. For immune-mediated renal disease diagnosis, whether the electron-dense granule is present in the electron microscope image is of vital importance. Deep learning methods ...
Microscopy, Electron Antigen-Antibody Complex Biopsy Humans Artificial Intelligence Deep Learning
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Integrating Molecular Models Into CryoEM Heterogeneity Analysis Using Scalable High-resolution Deep Gaussian Mixture Models.

Journal of molecular biology Feb 16, 2023
Resolving the structural variability of proteins is often key to understanding the structure-function relationship of those macromolecular machines. Single particle analysis using Cryogenic electron microscopy (CryoEM), combined with machine learning...
Neural Networks, Computer Cryoelectron Microscopy Models, Molecular Microscopy, Electron Algorithms
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Deep neural network automated segmentation of cellular structures in volume electron microscopy.

The Journal of cell biology Dec 5, 2022
Volume electron microscopy is an important imaging modality in contemporary cell biology. Identification of intracellular structures is a laborious process limiting the effective use of this potentially powerful tool. We resolved this bottleneck with...
Caveolae Endoplasmic Reticulum Nuclear Pore Cell Biology Golgi Apparatus Clathrin Mitochondria Neural Networks, Computer Microscopy, Electron Image Processing, Computer-Assisted
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Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook.

Nanoscale horizons Nov 21, 2022
In the last few years, electron microscopy has experienced a new methodological paradigm aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine learning and artificial intelligence are answering this call providi...
Automation Artificial Intelligence Robotics Microscopy, Electron Machine Learning
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Deep learning-based synapse counting and synaptic ultrastructure analysis of electron microscopy images.

Journal of neuroscience methods Nov 19, 2022
BACKGROUND: Synapses are the connections between neurons in the central nervous system (CNS) or between neurons and other excitable cells in the peripheral nervous system (PNS), where electrical or chemical signals rapidly travel through one cell to ...
Neurons Deep Learning Microscopy, Electron Synapses Synaptic Vesicles
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