Computational Neuroanatomy: Ontology-based Representation of Neural Components and Connectivity. Image atlas of the brain. Image atlases represent spatial information by providing a parcellation of the anatomic structures contained in the brain (left). Each structure is represented as a spatial region of uniform color. Other anatomic knowledge about the structure, such as functional information, is not represented. Image atlases are generally used to infer the anatomic localization of brain structures in individual subjects by registering their images to the atlas. For example, the anatomic identity of areas of activity in fMRI are identified in this manner (right). Read more here

A role for self-gravity at multiple length scales in the process of star formation. CLUMPFIND featureidentification algorithms as applied to ¹³CO emission from the L1448 region of Perseus. a: 3D visualization of the surfaces. b: CLUMPFIND segmentation. A very large number of clumps appears, because of the sensitivity of CLUMPFIND to noise and small-scale structure in the data. Read more here