ImageSurfer is a tool designed to explore correlations between two 3D scalar fields. Our scientific goal was to determine where a protein is located, and how much its concentration varies along the membrane of a neuronal dendrite. The 3D scalar field data sets fall into two categories: dendritic plasma membranes (defining the structure) and immunofluorescent staining (defining protein concentration along the structure). ImageSurfer enables scientists to analyze relationships between multiple data sets obtained with confocal microscopy by providing 3D surface view, height field, and graphing tools. Each tool reduces the complexity of the problem by extracting a restricted subset of data: finding a region of interest in 3D; getting a sense of relative concentrations in 2D, and getting exact concentration values in 1D. The current design is presented, along with the rationale for each design decision. The tool is already proving useful for data exploration, analysis, and presentation.

Article Free Access Share on Educating the digital artist for the entertainment industry (panel): the collision of academia and business Authors: Charles S. Swartz UCLA Extension UCLA ExtensionView Profile , Edwin E. Catmull Pixar PixarView Profile , Robin King Sheridan College Sheridan CollegeView Profile , Richard Weinberg University of Southern California University of Southern CaliforniaView Profile , Jane Veeder San Francisco State University San Francisco State UniversityView Profile Authors Info & Claims SIGGRAPH '97: Proceedings of the 24th annual conference on Computer graphics and interactive techniquesAugust 1997 Pages 456–458https://doi.org/10.1145/258734.258907Published:03 August 1997Publication History 1citation499DownloadsMetricsTotal Citations1Total Downloads499Last 12 Months21Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

The fast generation of complex synthetic images by digital computing systems requires immense computational resources, which can be provided by several means.

The continuing evolution of microelectronics provides the tools for developing new methods of synthesizing digital images by utilizing parallel processing architectures which hold the promise of reliability, flexibility and low cost. Beginning with the earliest real-time flight simulators, parallel processing architectures for image synthesis have been built, but "anti-aliasing" remains a problem. A parallel processing architecture is described and simulated which consists of a serial chain of processors which produces as output a depth sorted list of those objects which are at least potentially visible at each pixel. The lists are then filtered to provide the final shading at each pixel.

Electronic scene generation plays an important role in simulation of the Space Shuttle at the Johnson Space Center in Houston, Texas. Simulators for astronaut training, system integration and engineering development utilize both a moving camera/map board system as well as computer generated images. Launch, on-orbit, payload handling and landing tasks are simulated with shaded computer graphics to provide realtime visual feedback. An overview of these simulators is presented.