Large-scale localization of touching somas from 3D images using density-peak clustering

Large Scale 3D Clustering and Abstraction

Typically, a user can understand a clear textual description of a small amount of relational information. However, when dealing with large amounts of relational information, a vast amount of text quickly becomes cumbersome. Existing methods and techniques, for the visualization of relational information, tend to effectively deal with only relatively small data sets. Here we present methods to g...

BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images

Understanding the structure of single neurons is critical for understanding how they function within neural circuits. BigNeuron is a new community effort that combines modern bioimaging informatics, recent leaps in labeling and microscopy, and the widely recognized need for openness and standardization to provide a community resource for automated reconstruction of dendritic and axonal morpholo...

A partition-based algorithm for clustering large-scale software systems

Clustering techniques are used to extract the structure of software for understanding, maintaining, and refactoring. In the literature, most of the proposed approaches for software clustering are divided into hierarchical algorithms and search-based techniques. In the former, clustering is a process of merging (splitting) similar (non-similar) clusters. These techniques suffered from the drawba...

Large Scale Visual Geo-Localization of Images in Mountainous Terrain

Registration and resampling of large-scale 3D mosaic images

Determining the detailed structure of intact organs such as the mammalian brain requires submicron (~0.1 μm voxel size) imaging of large tissue volumes often hundreds of mm. Due to limitations in imaging technologies, large numbers of smaller images, each representing a subset of the full sample, are acquired and assembled into a continuous whole using image registration techniques. The full mo...