AIMC Topic: Mitochondria

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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...
Cell Nucleus Microscopy, Electron Chloroplasts Deep Learning Mitochondria
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An interactive deep learning-based approach reveals mitochondrial cristae topologies.

PLoS biology Aug 31, 2023
The convolution of membranes called cristae is a critical structural and functional feature of mitochondria. Crista structure is highly diverse between different cell types, reflecting their role in metabolic adaptation. However, their precise three-...
Mitochondria Acclimatization Mitochondrial Membranes Algorithms Deep Learning Humans
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Predicting the Mitochondrial Toxicity of Small Molecules: Insights from Mechanistic Assays and Cell Painting Data.

Chemical research in toxicology Jul 6, 2023
Mitochondrial toxicity is a significant concern in the drug discovery process, as compounds that disrupt the function of these organelles can lead to serious side effects, including liver injury and cardiotoxicity. Different in vitro assays exist to ...
Reproducibility of Results Liver Mitochondrial Membranes Machine Learning Mitochondria
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Analyzing Mitochondrial Morphology Through Simulation Supervised Learning.

Journal of visualized experiments : JoVE Mar 3, 2023
The quantitative analysis of subcellular organelles such as mitochondria in cell fluorescence microscopy images is a demanding task because of the inherent challenges in the segmentation of these small and morphologically diverse structures. In this ...
Machine Learning Supervised Machine Learning Image Processing, Computer-Assisted Mitochondria Microscopy, Fluorescence
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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...
Microscopy, Electron Clathrin Cell Biology Image Processing, Computer-Assisted Mitochondria Endoplasmic Reticulum Nuclear Pore Golgi Apparatus Caveolae Neural Networks, Computer
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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...
Cell Membrane Microscopy, Electron Mitochondrial Membranes Endoplasmic Reticulum Deep Learning Mitochondria Cells, Cultured
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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 Image Processing, Computer-Assisted Mitochondria Deep Learning
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Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning.

Nature cell biology Dec 7, 2021
Simultaneous imaging of various facets of intact biological systems across multiple spatiotemporal scales is a long-standing goal in biology and medicine, for which progress is hindered by limits of conventional imaging modalities. Here we propose us...
Single-Cell Analysis Cell Nucleolus Imaging, Three-Dimensional Subcellular Fractions Cell Membrane Cell Nucleus Mice Optical Imaging Actins COS Cells Deep Learning HeLa Cells Humans Refractometry Lipid Droplets Electron Microscope Tomography Cell Line, Tumor Animals Mitochondria Chlorocebus aethiops 3T3 Cells HEK293 Cells
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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 ...
Microscopy, Electron Reproducibility of Results Humans Image Processing, Computer-Assisted Neural Networks, Computer Mitochondria
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Aligned Organization of Synapses and Mitochondria in Auditory Hair Cells.

Neuroscience bulletin Nov 27, 2021
Recent studies have revealed great functional and structural heterogeneity in the ribbon-type synapses at the basolateral pole of the isopotential inner hair cell (IHC). This feature is believed to be critical for audition over a wide dynamic range, ...
Synapses Mice Artificial Intelligence Hair Cells, Auditory, Inner Mitochondria Animals Cochlea
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