AIMC Topic: Microscopy, Electron
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RETINA: Reconstruction-based pre-trained enhanced TransUNet for electron microscopy segmentation on the CEM500K dataset.
PLoS computational biology
May 28, 2025
Electron microscopy (EM) has revolutionized our understanding of cellular structures at the nanoscale. Accurate image segmentation is required for analyzing EM images. While manual segmentation is reliable, it is labor-intensive, incentivizing the de...
AI-driven glomerular morphology quantification: a novel pipeline for assessing basement membrane thickness and podocyte foot process effacement in kidney diseases.
Computer methods and programs in biomedicine
May 7, 2025
BACKGROUND AND OBJECTIVE: Measuring the thickness of the glomerular basement membrane (GBM) and assessing the percentage of podocyte foot process effacement (%PFPE) are important for diagnosing non-neoplastic kidney diseases. However, when performed ...
A new era in nephrology: the role of super-resolution microscopy in research, medical diagnostic, and drug discovery.
Kidney international
Mar 24, 2025
For decades, electron microscopy has been the primary method to visualize ultrastructural details of the kidney, including podocyte foot processes and the slit diaphragm. Despite its status as the gold standard, electron microscopy has significant li...
FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images.
PloS one
Feb 6, 2025
The extracellular matrix (ECM) is a complex network of biomolecules that plays an integral role in the structure, processes, and signaling mechanisms of cells and tissues. Identifying and quantifying changes in these matrix components provides insigh...
GobletNet: Wavelet-Based High-Frequency Fusion Network for Semantic Segmentation of Electron Microscopy Images.
IEEE transactions on medical imaging
Feb 4, 2025
Semantic segmentation of electron microscopy (EM) images is crucial for nanoscale analysis. With the development of deep neural networks (DNNs), semantic segmentation of EM images has achieved remarkable success. However, current EM image segmentatio...
3D electron microscopy for analyzing nanoparticles in the tumor endothelium.
Proceedings of the National Academy of Sciences of the United States of America
Dec 12, 2024
Delivering medical agents to diseased tissues has been challenging, leading researchers to study the in vivo transport process in the body for improving delivery. Many imaging techniques exist for mapping the distribution of medical agent-carrying na...
Artificial Intelligence-Enhanced Analysis of Genomic DNA Visualized with Nanoparticle-Tagged Peptides under Electron Microscopy.
Small (Weinheim an der Bergstrasse, Germany)
Oct 9, 2024
DNA visualization has advanced across multiple microscopy platforms, albeit with limited progress in the identification of novel staining agents for electron microscopy (EM), notwithstanding its ability to furnish a broad magnification range and high...
Automated segmentation of cell organelles in volume electron microscopy using deep learning.
Microscopy research and technique
Mar 19, 2024
Recent advances in computing power triggered the use of artificial intelligence in image analysis in life sciences. To train these algorithms, a large enough set of certified labeled data is required. The trained neural network is then capable of pro...
DeepQs: Local quality assessment of cryo-EM density map by deep learning map-model fit score.
Journal of structural biology
Dec 30, 2023
Cryogenic electron microscopy maps are valuable for determining macromolecule structures. A proper quality assessment method is essential for cryo-EM map selection or revision. This article presents DeepQs, a novel approach to estimate local quality ...
DeepMainmast: integrated protocol of protein structure modeling for cryo-EM with deep learning and structure prediction.
Nature methods
Dec 8, 2023
Three-dimensional structure modeling from maps is an indispensable step for studying proteins and their complexes with cryogenic electron microscopy. Although the resolution of determined cryogenic electron microscopy maps has generally improved, the...
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