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.
The center's research is primarily supported by the US National Science Foundation under the following awards:
1) NSF ABI Development Award #1356750, BISQUE - Scalable Image Informatics for Quantitative Biology
2) NSF EAGER Award #1650792: Collaborative 3D Materials Science Research in the Cloud
3) NEW: NSF SSI Award #1664172: LIMPID: Large-Scale Image Processing Infrastructure Development (2017-22)
Workshop Announcement: UCSB/UC Riverside/U Arizona will be hosting a joint workshop on Image Informatics, to jump start the new LIMPID project and to bring together the BisQue users and developers. This invitation only workshop will be held at UCSB on Feb 5-6. If you are a are interested in this meeting, please email to email@example.com.
BisQue+Scalable Image Informatics
February 5-6, 2018 - University of California, Santa Barbara
Engineering Sciences Building Room 1001
Scientific imaging is ubiquitous: From biology to medicine, materials science to remote sensing, much of the big data science is image centric. Currently interpretation of images is usually performed within isolated research groups either manually or as workflows over narrowly defined conditions with specific datasets. This workshop aims to bring together scientists generating and analyzing large scale image datasets with computational scientists developing machine learning and computer vision methods, towards addressing the next generation challenges in the curation, sharing, distribution and analysis of big image data. The workshop will include an introductory session on the BisQue image informatics platform (http://cyverse.org, http://bioimage.ucsb.edu) and the upcoming new version that includes deep learning, workflows and module development. The sessions on computer vision and machine learning will explore the emerging needs in big image data science and sustainable software infrastructure for image informatics. The workshop will include invited talks and panel discussions with participants from academia, industry and various Government agencies.
Note: Limited travel support will be available to graduate students, post-doctoral scholars and junior faculty/researchers. This BisQUe workshop is supported by grants from the Division of Biological Infrastructure and the Office of Advanced Cyberinfrastructure of the National Science Foundation.