Automatic reconstruction of mitochondria and endoplasmic reticulum in electron microscopy volumes by deep learning

J Liu, L Li, Y Yang, B Hong, X Chen, Q Xie… - Frontiers in …, 2020 - frontiersin.org
Together, mitochondria and the endoplasmic reticulum (ER) occupy more than 20% of a
cell's volume, and morphological abnormality may lead to cellular function disorders. With …

Automatic mitochondria segmentation for EM data using a 3D supervised convolutional network

C Xiao, X Chen, W Li, L Li, L Wang, Q Xie… - Frontiers in …, 2018 - frontiersin.org
Recent studies have supported the relation between mitochondrial functions and
degenerative disorders related to ageing, such as Alzheimer's and Parkinson's diseases …

HIVE-Net: Centerline-aware hierarchical view-ensemble convolutional network for mitochondria segmentation in EM images

Z Yuan, X Ma, J Yi, Z Luo, J Peng - Computer methods and programs in …, 2021 - Elsevier
Background and objective: With the advancement of electron microscopy (EM) imaging
technology, neuroscientists can investigate the function of various intracellular organelles …

Em-net: Centerline-aware mitochondria segmentation in em images via hierarchical view-ensemble convolutional network

Z Yuan, J Yi, Z Luo, Z Jia, J Peng - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
Although deep fully convolutional networks have achieved astonishing performance for
mitochondria segmentation from electron microscopy (EM) images, they still produce coarse …

Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumes

D Franco-Barranco, A Muñoz-Barrutia… - Neuroinformatics, 2022 - Springer
Electron microscopy (EM) allows the identification of intracellular organelles such as
mitochondria, providing insights for clinical and scientific studies. In recent years, a number …

Adaptive template transformer for mitochondria segmentation in electron microscopy images

Y Pan, N Luo, R Sun, M Meng… - Proceedings of the …, 2023 - openaccess.thecvf.com
Mitochondria, as tiny structures within the cell, are of significant importance to study cell
functions for biological and clinical analysis. And exploring how to automatically segment …

Contrastive learning for mitochondria segmentation

Z Li, X Chen, J Zhao, Z Xiong - 2021 43rd Annual International …, 2021 - ieeexplore.ieee.org
Mitochondria segmentation in electron microscopy images is essential in neuroscience.
However, due to the image degradation during the imaging process, the large variety of …

MitoSegNet: easy-to-use deep learning segmentation for analyzing mitochondrial morphology

CA Fischer, L Besora-Casals, SG Rolland, S Haeussler… - Iscience, 2020 - cell.com
While the analysis of mitochondrial morphology has emerged as a key tool in the study of
mitochondrial function, efficient quantification of mitochondrial microscopy images presents …

Automatic detection and segmentation of mitochondria from SEM images using deep neural network

J Liu, W Li, C Xiao, B Hong, Q Xie… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
Investigating the link between mitochondrial function and its physical structure is a hot topic
in neurobiology research. With the rapid development of Scanning Electron Microscope …

[HTML][HTML] Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model trained on a diverse dataset

R Conrad, K Narayan - Cell Systems, 2023 - cell.com
Mitochondria are extremely pleomorphic organelles. Automatically annotating each one
accurately and precisely in any 2D or volume electron microscopy (EM) image is an …