The Center for Bio-image Informatics is an interdisciplinary research effort between Biology, Computer Science, Statistics, Multimedia and Engineering. The overarching goal of the center is the advancement of human knowledge of the complex biological processes which occur at both cellular and sub-cellular levels. To achieve this core objective, the center employs and develops cutting edge techniques in the fields of imaging, pattern recognition and data mining.
Our research also focuses on development of new information processing techniques which can afford us a better understanding of biological processes depicted in microscopy images of cells and tissues, specifically on the distributions of biological molecules within these samples. This is achieved by borrowing methods for information processing at the sensor level to enable high speed and super-resolution imaging. By applying pattern recognition and data mining methods to bio-molecular images, we can fully automate both the extraction of information and the construction of statistically-sound models of the processes depicted in those images. At the heart of the center's reseach is the BisQue system, an online repository for multidimensional bio-images, and testbed for new research techniques and methods.
