Multi-modality is widely used in medical imaging, because it can provide multiinformation
about a target (tumor, organ or tissue). Segmentation using multimodality consists of fusing …

Neuronal networks are high-dimensional graphs that are packed into three-dimensional
nervous tissue at extremely high density. Comprehensively mapping these networks is …

We describe automated technologies to probe the structure of neural tissue at nanometer
resolution and use them to generate a saturated reconstruction of a sub-volume of mouse …

Neuronal circuit mapping using electron microscopy demands laborious proofreading or
reconciliation of multiple independent reconstructions. Here, we describe new methods to …

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 …

Electron microscopy (EM) allows the identification of intracellular organelles such as
mitochondria, providing insights for clinical and scientific studies. However, public …

It is becoming increasingly clear that mitochondria play an important role in neural function.
Recent studies show mitochondrial morphology to be crucial to cellular physiology and …

Addressing how neural circuits underlie behavior is routinely done by measuring electrical
activity from single neurons in experimental sessions. While such recordings yield …

Progress in electron microscopy-based high-resolution connectomics is limited by data
analysis throughput. Here, we present SegEM, a toolset for efficient semi-automated …

We aim to improve segmentation through the use of machine learning tools during region
agglomeration. We propose an active learning approach for performing hierarchical …