[HTML][HTML] Progress and remaining challenges in high-throughput volume electron microscopy

J Kornfeld, W Denk - Current opinion in neurobiology, 2018 - Elsevier
Highlights•Breakthrough in automatic neuron reconstruction from VEM data will enable the
reconstruction of much larger data sets in the future.•Volume electron microscopy imaging …

Dense connectomic reconstruction in layer 4 of the somatosensory cortex

A Motta, M Berning, KM Boergens, B Staffler, M Beining… - Science, 2019 - science.org
INTRODUCTION The brain of mammals consists of an enormously dense network of
neuronal wires: the axons and dendrites of nerve cells. Their packing density is so high that …

Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy

K Lee, N Turner, T Macrina, J Wu, R Lu… - Current opinion in …, 2019 - Elsevier
Neural circuits can be reconstructed from brain images acquired by serial section electron
microscopy. Image analysis has been performed by manual labor for half a century, and …

Learning cellular morphology with neural networks

PJ Schubert, S Dorkenwald, M Januszewski… - Nature …, 2019 - nature.com
Reconstruction and annotation of volume electron microscopy data sets of brain tissue is
challenging but can reveal invaluable information about neuronal circuits. Significant …

Petascale neural circuit reconstruction: automated methods

T Macrina, K Lee, R Lu, NL Turner, J Wu, S Popovych… - bioRxiv, 2021 - biorxiv.org
Abstract 3D electron microscopy (EM) has been successful at map** invertebrate nervous
systems, but the approach has been limited to small chunks of mammalian brains. To scale …

Multi-layered maps of neuropil with segmentation-guided contrastive learning

S Dorkenwald, PH Li, M Januszewski, DR Berger… - Nature …, 2023 - nature.com
Maps of the nervous system that identify individual cells along with their type, subcellular
components and connectivity have the potential to elucidate fundamental organizational …

A survey of visualization and analysis in high‐resolution connectomics

J Beyer, J Troidl, S Boorboor… - Computer Graphics …, 2022 - Wiley Online Library
The field of connectomics aims to reconstruct the wiring diagram of Neurons and synapses
to enable new insights into the workings of the brain. Reconstructing and analyzing the …

Cross-classification clustering: An efficient multi-object tracking technique for 3-d instance segmentation in connectomics

Y Meirovitch, L Mi, H Saribekyan… - Proceedings of the …, 2019 - openaccess.thecvf.com
Pixel-accurate tracking of objects is a key element in many computer vision applications,
often solved by iterated individual object tracking or instance segmentation followed by …

An error detection and correction framework for connectomics

J Zung, I Tartavull, K Lee… - Advances in neural …, 2017 - proceedings.neurips.cc
We define and study error detection and correction tasks that are useful for 3D
reconstruction of neurons from electron microscopic imagery, and for image segmentation …

Biologically-constrained graphs for global connectomics reconstruction

B Matejek, D Haehn, H Zhu, D Wei… - Proceedings of the …, 2019 - openaccess.thecvf.com
Most current state-of-the-art connectome reconstruction pipelines have two major steps:
initial pixel-based segmentation with affinity prediction and watershed transform, and refined …