Aeskulap is a medical image viewer. It is able to load a series of special images stored in the DICOM format for review. It is able to query and fetch DICOM images from archive nodes (also called PACS) over the network. The goal of this project is to create a full open source replacement for commercially available DICOM viewers. It is based on gtkmm, glademm, and gconfmm and designed to run under Linux. Ports of these packages are available for different platforms. It should be quite easy to port It to any platform were these packages are available.
BALLView is an extensible viewer for bio-molecular structures. It provides all standard models and offers rich functionality for molecular modeling and simulation, including molecular mechanics methods (AMBER, CHARMM, and MMFF94 force fields), continuum electrostatics methods employing a Finite-Difference Poisson Boltzmann solver, secondary structure calculation, molecular editing and docking. Since BALLView is based on BALL (the Biochemical ALgorithms Library), it is easily extensible on the level of C++ code. In addition, it provides a Python interface with Integrated Development Environment features to allow interactive rapid prototyping.
Brook for GPUs is a compiler and runtime implementation of the Brook stream programming language for modern graphics hardware. The goals for this project are to demonstrate general purpose programing on GPUs, to provide a useful tool for developers who want to run applications on GPUs, and to research the stream language programming model, streaming applications, and system implementations.
CTSim is a Computed Tomography simulator. It simulates the process of obtaining x-ray data around a phantom object. It then uses various reconstruction algorithms for reconstructing the original image. It supports animation of projection and reconstruction processes, 3-dimensional viewing using OpenGL as well as cross platform support using GTK and Win32.
CellProfiler is a system for analyzing cell images. It is designed for biologists without training in computer vision or programming to make quantitative measurements of cells in thousands of images automatically. It is implemented using Matlab, but compiled standalone versions are available.