Biological Network Modeling Center Seminar

Recent advances in imaging technologies have resulted in large volumes of image and video data, with most of the analysis still done manually and in a qualitative manner. Manual analysis is not only time intensive but often is not reproducible as well. Further, there is little, if any, data base support to manage these image/video collections, to store, search and retrieve image related information within an integrated framework. In this talk, I will present recent progress at the UCSB Center for Bioimage Informatics in building an image informatics infrastructure. The UCSB s BISQUE database system tightly integrates image analysis with traditional database functionalities, and offers a rich set of tools for biologists to store, access, analyze, annotate, and share their image collections. The Bisque system is currently being deployed at several labs in the US and abroad. I will discuss some of the embedded tools including image segmentation, tracking and registration, that enable quantitative analysis of the bioimage data, as well as efforts on benchmarking/validating some of these image processing methods. This work is supported by NSF ITR, CISE and CDI awards.