The relationship between neural circuit function and patterns of synaptic connectivity is
poorly understood, in part due to a lack of comparative data for larger complete systems. We …

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

Axons are ultrathin membrane cables that are specialized for the conduction of action
potentials. Although their diameter is variable along their length, how their morphology is …

We describe a method for fully automated detection of chemical synapses in serial electron
microscopy images with highly anisotropic axial and lateral resolution, such as images taken …

Transmission electron microscopy (TEM) is the most widely accepted method for
visualization of extracellular vesicles (EVs), and particularly, exosomes. TEM images …

Proofreading refers to the manual correction of automatic segmentations of image data. In
connectomics, electron microscopy data is acquired at nanometer-scale resolution and …

We present a new graphical-model-based method for automatic and interactive
segmentation of neuron structures from electron microscopy (EM) images. For automated …

In the field of connectomics, neuroscientists acquire electron microscopy volumes at
nanometer resolution in order to reconstruct a detailed wiring diagram of the neurons in the …

Studies of gene regulation, signaling pathways, and stem cell biology are contributing
greatly to our understanding of early embryonic vertebrate development. However, much …

Establishing meaningful relationships between cellular structure and function requires
accurate morphological reconstructions. In particular, there is an unmet need for high quality …