Recent proliferation and integration of tissue-clearing methods and light-sheet fluorescence
microscopy has created new opportunities to achieve mesoscale three-dimensional whole …

Connectomes of human cortical gray matter require high-contrast homogeneously stained
samples sized at least 2 mm on a side, and a mouse whole-brain connectome requires …

Quantum neurobiology is concerned with potential quantum effects operating in the brain
and the application of quantum information science to neuroscience problems, the latter of …

Mapping neuronal networks from three-dimensional electron microscopy (3D-EM) data still
poses substantial reconstruction challenges, in particular for thin axons. Currently available …

Image processing is one of the most important applications of recent machine learning (ML)
technologies. Convolutional neural networks (CNNs), a popular deep learning-based ML …

Decision forests, including Random Forests and Gradient Boosting Trees, have recently
demonstrated state-of-the-art performance in a variety of machine learning settings …

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

Microtubules deliver essential resources to and from synapses. Three-dimensional
reconstructions in rat hippocampus reveal a sampling bias regarding spine density that …

There are multiple scales of abstraction from which we can describe the same image,
depending on whether we are focusing on fine-grained details or a more global attribute of …

Synapses are fundamental components of how neurons communicate with each other and
have attracted widespread attention from neuroscientists. Due to the rapid development of …