UCSB’s Manjunath (ECE), Pollock (Materials), Miller (MSI) and teams from UCR and U. of AZ receive a $3.4M NSF grant to research scientific image processing

December 1st, 2017

illustration of a scientific imageUCSB researchers given the award from NSF’s Office of Advanced Cyberinfrastructure to build a large-scale distributed image-processing infrastructure (LIMPID) through a broad, interdisciplinary collaboration. Encompassing databases, image analysis and various scientific disciplines, their creation, BisQue, is an image informatics platform that shares, distributes and collaborates with large image datasets.

“Think of BisQue as Google Docs for scientific images,” said UCSB principal investigator B. S. Manjunath, who directs the campus’s Center for Multimodal Big Data Science and Healthcare. “Imaging data is ubiquitous and much of big-data science is image-centric. Working with such data should be as simple as working with text files in Google Docs.”

BisQue is unique in its ability to handle a wide range of imaging data across diverse scientific applications, ranging from marine and materials science to neuroscience and medical imaging. For example, Manjunath is working with co-PI Tresa Pollock, the Alcoa Distinguished Professor of Materials at UCSB, to integrate algorithms developed specifically for processing materials imaging data into BisQue. Recent advances in materials tomography (cross-sectional imaging) are generating an enormous quantity of imaging data that must be reconstructed, shared with the community and further analyzed. According to Pollock, “LIMPID will greatly enhance our ability to work with large material data sets and will leverage advances made in computer vision and machine learning.”

“In marine science, and particularly marine ecology, the technology to capture underwater images is growing exponentially, but most of the imaging data is manually processed,” said co-PI Robert Miller, a research biologist in UCSB’s Marine Science Institute. “In the Santa Barbara Channel Marine Biodiversity Observation Network, which is supported by NASA and the Bureau of Ocean Energy Management, we are developing image-analysis pipelines and models to process underwater imagery and automate the processes of identifying and quantifying marine organisms. LIMPID will expand that work dramatically to the point where UCSB will become the epicenter of image analysis technology for marine science.”

A team at UC Riverside, the home campus of LIMPID collaborator Amit Roy-Chowdhury, will work with neuroscience researchers to analyze large volumes of live imaging data that capture neuronal activities in the Drosophila nervous system. The UCSB scientists also are collaborating with Nirav Merchant of the University of Arizona, where BisQue and the cyberinfrastructure CyVerse will be leveraged to further enable image-based scientific discoveries.

The UCSB Current – "Share, Test and Refine" (full article)

UCSB Center for Bio-Image Informatics

Manjunath's COE Profile