Into is a cross-platform machine intelligence application framework written in C++. Into provides a different, fast way to build high-performance applications for image analysis, machine vision, pattern recognition, and artificial intelligence. It features a layered API and more than 20 fully interoperable plug-in modules for accessing image and data sources, powerful feature extractors, classifiers, neural networks, and much more. It also provides Ydin, an innovative execution engine that makes it easy to create dynamic programs that automatically run in parallel, enabling you to create more with less hassle, less code, and less time. Into uses Qt to let you create beautiful user interfaces for your applications with ease.
Opticks Extras is a set of official extensions for the Opticks application. The Spectral Processing extension adds multi-spectral and hyper-spectral processing capability to Opticks. The IDL Scripting extension integrates an IDL interpreter directly into the Opticks application. The Python Scripting Extension integrates a Python interpreter directly into the Opticks application.
GoFigure2 is a cross-platform application for visualization, processing, and analysis of out-of-core multidimensional microscopy data (5D data sets). Users can visualize images, segment cells in 3d, track cells through time, and detect cell divisions to generate lineages. Results are stored in a MySQL database back-end. Once data has been processed, cell-based object features are quantified and can be used for sorting, color-coding, analysis, or exported to external tools. GoFigure2 was developed for biology research including studying the development of embryos (zebrafish and mouse), synthetic biology (signaling), and for drug screening.
Fluere is a graphical software package for particle image velocimetry (PIV). Fluere is highly optimized for parallel processing and runs on multiple platforms. The goal of the project is to provide researchers and educators with high-quality velocimetry software that incorporates the latest advancements in PIV processing, while having complete knowledge of the algorithms used.