Neurons are cells in the brain that connect and communicate with each other. This neuron-to-neuron connectivity defines a network, and a major hypothesis in modern neuroscience is that structure of these brain networks can be linked to their function -- how the brain encodes memories, extracts features from perceptual stimuli, and makes decisions.
The structure of these brain networks has remained largely unknown, due to technical difficulties involved in imaging and reconstructing the brain in 3D. A diversity of new microscopy techniques has begun to address the challenge of imaging the brain in 3D at nanometer resolution, but these new machines have led to a huge bottleneck in the subsequent step of data analysis. Our goal is to help solve some of these data analysis problems and thus enable a high-throughput approach to studying the network architecture of the brain.