Imaging Studies (Imaging): CNIC researchers use a combination of confocal and multi-photon microscopy to obtain high quality images. All datasets are acquired on-site through the use of the latest hardware and software more...

Volume Integration (Tiling): We have developed a Volume Integration and Alignment System (VIAS) to create a single volume from multiple 2D image stacks, each of variable dimensions. Realtime alignment of large volumes is possible by defining a workspace more...

Visualization Techniques (Visual): We have developed various software tools to assist in the visualization of datasets, traced models, and spines. NeuroGL renders models generated by the NeuroZoom package using OpenGL. Visit our online repository comprehensive list more...

Medial Axis Extraction (Arbor): Obtaining the medial axis of a cell (and associated diameters) produces a model which can be imported into morphometric software and compartment modeling programs such as NEURON and GENESIS. Quantization errors arise more...

Spine Detection and Classification (Spines): A fundamental challenge in understanding how dendritic spine morphology controls learning and memory has been quantifying three-dimensional (3D) spine shapes with sufficient precision to distinguish morphologic types more...

Applications of Rayburst (Rayburst): The Rayburst Algorithm is a generic shape analysis algorithm, implemented within the CNIC lab as a C software library, and freely available for download. Accurate estimation of diameters, volumes and surface areas of more...

Analysis of Spatially Complex Structures (Spatial): Abnormal vasculature is a hallmark of many human diseases, and of solid tumor or lesion development, in particular. Blood vessels in tumors do not follow the hierarchic branching pattern of most normal vascular networks. The normal equilibrium more...

Computational Modeling (Modeling): Dendritic morphology, together with the active ion channels that drive membrane excitability, both contribute significantly to neuronal firing dynamics. However, the relative importance and interactions between these features remain more...

Mathematical and Analytic Studies (Math): Analytic programs complement the computational studies by developing theoretical tools for analyzing and better understanding experimental data. Such tools are central in revealing common mechanisms and principles arising from different neural systems and more...