Whole-cell organelle segmentation in volume electron microscopy
Cells contain hundreds of organelles and macromolecular assemblies. Obtaining a
complete understanding of their intricate organization requires the nanometre-level, three …
complete understanding of their intricate organization requires the nanometre-level, three …
How innovations in methodology offer new prospects for volume electron microscopy
Detailed knowledge of biological structure has been key in understanding biology at several
levels of organisation, from organs to cells and proteins. Volume electron microscopy …
levels of organisation, from organs to cells and proteins. Volume electron microscopy …
[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 …
Confocal interferometric scattering microscopy reveals 3D nanoscopic structure and dynamics in live cells
M Küppers, D Albrecht, AD Kashkanova, J Lühr… - Nature …, 2023 - nature.com
Bright-field light microscopy and related phase-sensitive techniques play an important role
in life sciences because they provide facile and label-free insights into biological specimens …
in life sciences because they provide facile and label-free insights into biological specimens …
Deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations
H Spiers, H Songhurst, L Nightingale, J De Folter… - Traffic, 2021 - Wiley Online Library
Advancements in volume electron microscopy mean it is now possible to generate
thousands of serial images at nanometre resolution overnight, yet the gold standard …
thousands of serial images at nanometre resolution overnight, yet the gold standard …
Automatic whole cell organelle segmentation in volumetric electron microscopy
Cells contain hundreds of different organelle and macromolecular assemblies intricately
organized relative to each other to meet any cellular demands. Obtaining a complete …
organized relative to each other to meet any cellular demands. Obtaining a complete …
[HTML][HTML] Impact of training data, ground truth and shape variability in the deep learning-based semantic segmentation of HeLa cells observed with electron microscopy
This paper investigates the impact of the amount of training data and the shape variability on
the segmentation provided by the deep learning architecture U-Net. Further, the correctness …
the segmentation provided by the deep learning architecture U-Net. Further, the correctness …
Semantic segmentation of HeLa cells: An objective comparison between one traditional algorithm and four deep-learning architectures
The quantitative study of cell morphology is of great importance as the structure and
condition of cells and their structures can be related to conditions of health or disease. The …
condition of cells and their structures can be related to conditions of health or disease. The …
Reducing manual operation time to obtain a segmentation learning model for volume electron microscopy using stepwise deep learning with manual correction
K Konishi, T Nonaka, S Takei, K Ohta, H Nishioka… - …, 2021 - academic.oup.com
Abstract Three-dimensional (3D) observation of a biological sample using serial-section
electron microscopy is widely used. However, organelle segmentation requires a significant …
electron microscopy is widely used. However, organelle segmentation requires a significant …
Citizen science, cells and CNNs–deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations
H Spiers, H Songhurst, L Nightingale, J de Folter… - bioRxiv, 2020 - biorxiv.org
Advancements in volume electron microscopy mean it is now possible to generate
thousands of serial images at nanometre resolution overnight, yet the gold standard …
thousands of serial images at nanometre resolution overnight, yet the gold standard …