AIMC Topic: Mitochondria

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Isolation and reconstruction of cardiac mitochondria from SBEM images using a deep learning-based method.

Journal of structural biology Nov 3, 2021
Mitochondrial morphological defects are a common feature of diseased cardiac myocytes. However, quantitative assessment of mitochondrial morphology is limited by the time-consuming manual segmentation of electron micrograph (EM) images. To advance un...
Deep Learning Mitochondria Image Processing, Computer-Assisted Myocytes, Cardiac
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Machine learning-based classification of mitochondrial morphology in primary neurons and brain.

Scientific reports Mar 4, 2021
The mitochondrial network continually undergoes events of fission and fusion. Under physiologic conditions, the network is in equilibrium and is characterized by the presence of both elongated and punctate mitochondria. However, this balanced, homeos...
Mice Mitochondria Neurons Brain Animals Image Processing, Computer-Assisted Microscopy, Electron, Scanning Nerve Net Mitochondrial Dynamics Humans Machine Learning
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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...
Reproducibility of Results Animals Male Imaging, Three-Dimensional Artificial Intelligence Image Interpretation, Computer-Assisted Cell Nucleus Microscopy, Electron White Matter Nerve Fibers, Myelinated Disease Models, Animal Predictive Value of Tests Mitochondria Rats Brain Injuries, Traumatic Rats, Sprague-Dawley
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Application of Machine-Learning Methods to Recognize mitoBK Channels from Different Cell Types Based on the Experimental Patch-Clamp Results.

International journal of molecular sciences Jan 15, 2021
(1) Background: In this work, we focus on the activity of large-conductance voltage- and Ca2+-activated potassium channels (BK) from the inner mitochondrial membrane (mitoBK). The characteristic electrophysiological features of the mitoBK channels ar...
Animals Algorithms Rats, Wistar Pregnancy Rats Female Neural Networks, Computer Artificial Intelligence Machine Learning Fibroblasts Kinetics Mitochondria Large-Conductance Calcium-Activated Potassium Channels Potassium Channels Hippocampus Protein Conformation Endothelium Pregnancy, Animal Ion Channel Gating Patch-Clamp Techniques
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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...
Mitochondria Microscopy, Electron Neural Networks, Computer Image Processing, Computer-Assisted
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Label-free metabolic clustering through unsupervised pixel classification of multiparametric fluorescent images.

Analytica chimica acta Dec 31, 2020
Autofluorescence microscopy is a promising label-free approach to characterize NADH and FAD metabolites in live cells, with potential applications in clinical practice. Although spectrally resolved lifetime imaging techniques can acquire multiparamet...
Oxidation-Reduction Mitochondria NAD Artificial Intelligence Cluster Analysis
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DeepPred-SubMito: A Novel Submitochondrial Localization Predictor Based on Multi-Channel Convolutional Neural Network and Dataset Balancing Treatment.

International journal of molecular sciences Aug 9, 2020
Mitochondrial proteins are physiologically active in different compartments, and their abnormal location will trigger the pathogenesis of human mitochondrial pathologies. Correctly identifying submitochondrial locations can provide information for di...
Humans Neural Networks, Computer Algorithms Deep Learning Computational Biology Mitochondrial Membranes Mitochondria Protein Transport Mitochondrial Proteins
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Machine-learning assisted confocal imaging of intracellular sites of triglycerides and cholesteryl esters formation and storage.

Analytica chimica acta May 3, 2020
All living systems are maintained by a constant flux of metabolic energy and, among the different reactions, the process of lipids storage and lipolysis is of fundamental importance. Current research has focused on the investigation of lipid droplets...
Endoplasmic Reticulum Triglycerides PC12 Cells Machine Learning Animals Microscopy, Confocal Rats Golgi Apparatus Oxazines Mitochondria Cholesterol Esters
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Using Machine Learning Methods and Structural Alerts for Prediction of Mitochondrial Toxicity.

Molecular informatics Mar 23, 2020
Over the last few years more and more organ and idiosyncratic toxicities were linked to mitochondrial toxicity. Despite well-established assays, such as the seahorse and Glucose/Galactose assay, an in silico approach to mitochondrial toxicity is stil...
Computer Simulation Drug Discovery Mitochondria Machine Learning Algorithms Drug-Related Side Effects and Adverse Reactions Databases, Chemical Quantitative Structure-Activity Relationship
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MMPdb and MitoPredictor: Tools for facilitating comparative analysis of animal mitochondrial proteomes.

Mitochondrion Jan 20, 2020
Data on experimentally-characterized animal mitochondrial proteomes (mt-proteomes) are limited to a few model organisms and are scattered across multiple databases, impeding a comparative analysis. We developed two resources to address these problems...
Mitochondrial Proteins Mitochondria Energy Metabolism Saccharomyces cerevisiae Acanthamoeba castellanii Mice Drosophila melanogaster Proteome Caenorhabditis elegans Databases, Protein Humans Machine Learning Animals
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