BisQue Image Analysis
BisQue (Bio-Image Semantic Query User Environment) allows you to store, visualize, organize and analyze images in the cloud. BisQue was developed for the exchange and exploration of biological images, but can support image data from other domains.
BisQue is developed at the Center for Bio-Image Informatics at University of California, Santa Barbara. The BisQue system supports several areas useful for imaging researchers from image capture to image analysis and querying.
Centered around a database of images and metadata, BisQue supports search and comparison of image datasets. Novel semantic analyses are integrated into the system, allowing high-level semantic queries and comparison of image content.
BisQue is integrated with CyVerse's authentication system, the Data Store, and computation infrastructure for scalability and ready access to a large set of downstream analysis options.
Developers can integrate existing applications or create new ones, leveraging BisQue's rich set of custom visualizations, image handling routines, and APIs (Application Programming Interfaces) for building scalable, web-based image analysis applications. Before you can use BisQue, you must have a CyVerse account and be granted access to BisQue.
Free and open source
Flexible textual and graphical annotations
Cloud scalability: Terabytes of images, millions of annotations
Distributed storage: local, iRODS, S3
Integrated image analysis, high-throughput with Condor
Analysis in MATLAB, Python, Java+ImageJ
100+ biological image formats; Formats from other domains can be supported
Very large 5D images (100+ GB)