Abstract Three-dimensional (3D) reconstruction of living brain tissue down to an individual
synapse level would create opportunities for decoding the dynamics and structure–function …

Mitochondria are extremely pleomorphic organelles. Automatically annotating each one
accurately and precisely in any 2D or volume electron microscopy (EM) image is an …

In this paper, we present the results of the MitoEM challenge on mitochondria 3D instance
segmentation from electron microscopy images, organized in conjunction with the IEEE-ISBI …

Map** the complex and dense arrangement of cells and their connectivity in brain tissue
demands nanoscale spatial resolution imaging. Super-resolution optical microscopy excels …

In recent years, deep learning has revolutionized machine learning and its applications,
producing results comparable to human experts in several domains, including …

Map** neuronal networks is a central focus in neuroscience. While volume electron
microscopy (vEM) can reveal the fine structure of neuronal networks (connectomics), it does …

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 …

Superpixel aggregation is a powerful tool for automated neuron segmentation from electron
microscopy (EM) volume. However, existing graph partitioning methods for superpixel …

Neuron reconstruction algorithms used in electron microscope volumes have received
increasing attention in recent years. Most current methods are highly reliant on neuron …

Germline cells are critical for transmitting genetic information to subsequent generations in
biological organisms. While their differentiation from somatic cells during embryonic …