AIMC Topic: Microscopy, Electron
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AI-directed voxel extraction and volume EM identify intrusions as sites of mitochondrial contact.
The Journal of cell biology
Jul 30, 2025
Membrane contact sites (MCSs) establish organelle interactomes in cells to enable communication and exchange of materials. Volume EM (vEM) is ideally suited for MCS analyses, but semantic segmentation of large vEM datasets remains challenging. Recent...
Multimodal deep learning improving the accuracy of pathological diagnoses for membranous nephropathy.
Renal failure
Jul 14, 2025
OBJECTIVES: Renal biopsy is the gold standard for the diagnosis of glomerular diseases including membranous nephropathy (MN), however, it faces challenges in accuracy, objectivity, and reproducibility of tissue evaluation. This study aims to develop ...
3BTRON: A Blood-Brain Barrier Recognition Network.
Communications biology
Jul 4, 2025
The blood-brain barrier (BBB) plays a crucial role in maintaining brain homeostasis. During ageing, the BBB undergoes structural alterations. Electron microscopy (EM) is the gold standard for studying the structural alterations of the brain vasculatu...
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...
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...
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