[HTML][HTML] Segmentation in large-scale cellular electron microscopy with deep learning: A literature survey
Electron microscopy (EM) enables high-resolution imaging of tissues and cells based on 2D
and 3D imaging techniques. Due to the laborious and time-consuming nature of manual …
and 3D imaging techniques. Due to the laborious and time-consuming nature of manual …
Deep neural network automated segmentation of cellular structures in volume electron microscopy
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 …
Identification of intracellular structures is a laborious process limiting the effective use of this …
Digital biology approach for macroscale studies of biofilm growth and biocide effects with electron microscopy
Microbial interactions are one of the major topics of current research due to their great
societal relevance. It is now established that biofilms—associations of microorganisms …
societal relevance. It is now established that biofilms—associations of microorganisms …
MADR-Net: multi-level attention dilated residual neural network for segmentation of medical images
Medical image segmentation has made a significant contribution towards delivering
affordable healthcare by facilitating the automatic identification of anatomical structures and …
affordable healthcare by facilitating the automatic identification of anatomical structures and …
Machine learning-based 3D segmentation of mitochondria in polarized epithelial cells
NW Hultgren, T Zhou, DS Williams - Mitochondrion, 2024 - Elsevier
Mitochondria are dynamic organelles that alter their morphological characteristics in
response to functional needs. Therefore, mitochondrial morphology is an important indicator …
response to functional needs. Therefore, mitochondrial morphology is an important indicator …
[HTML][HTML] Evaluation of depth perception in crowded volumes
Depth perception in volumetric visualization plays a crucial role in the understanding and
interpretation of volumetric data. Numerous visualization techniques, many of which rely on …
interpretation of volumetric data. Numerous visualization techniques, many of which rely on …
Dr. KID: Direct Remeshing and K-set Isometric Decomposition for Scalable Physicalization of Organic Shapes
Dr. KID is an algorithm that uses isometric decomposition for the physicalization of potato-
shaped organic models in a puzzle fashion. The algorithm begins with creating a simple …
shaped organic models in a puzzle fashion. The algorithm begins with creating a simple …