Center for Bio-Image Informatics

Engineering, Biology and Computer Science, working together.

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Center for Bio-Image Informatics

About the Center for Bio-Informatics

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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.

BISQUE: Online Semantic Query User Environment is our online database for managing up to 5 dimensional scientific images with associated metadata and a flexible, collaborative tagging system. Currently the system has more than 85,000 user-provided tags and 128006 2-D planes from over 6,000 biological images. BISQUE is much more than just a repository for scientific images- the system provides resources for complex scientific analysis over images, result visualization, user-extensible modules, customized organization of images, advanced search features, graphical annotations, textual annotations and compatible client-side applications. Please give the system a try by following this link!!

Principal Investigators

Ambuj K. Singh, Professor, Department of Computer Science

Arunava Majumdar (UC Berkeley), Professor, Departments of Mechanical Engineering and Materials Science and Engineeing

B.S. Manjunath, Professor, Electrical and Computing Engineering & Media Arts and Technology

Kenneth Rose, Professor, Department of Electrical and Computer Engineering

Leslie Wilson, Professor, Molecular Cellular and Developmental Biology

S. Rao Jammalamadaka, Professor, Department of Statistics and Applied Probability

Sanjoy Banerjee, Professor, Department of Chemical Engineering

Steven Fisher,Professor, Molecular Cellular and Developmental Biology

Stuart Feinstein, Professor, Molecular Cellular and Developmental Biology

 

 

Terms of use

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All public images on this site and its derivative sites are distributed under copyright by the Center for Bio-Image Informatics and copyright of their respective authors. All images MUST be properly referenced mentioning the Center for Bio-Image Informatics and their respective authors.

Retina image data collection primarily comes and retains copyright by Steven Fisher's Retina Cell Biology Lab, NRI, UCSB.

The microtubule (MT) image data collection primarily comes and retains copyright by the labs of Leslie Wilson and Stuart Feinstein, NRI.