The Brain Image Library (BIL) is a national public resource enabling researchers to deposit, analyze, mine, share and interact with large brain image datasets. BIL encompasses the deposition of datasets, the integration of datasets into a searchable web-accessible system, the redistribution of datasets, and a computational enclave to allow researchers to process datasets in-place and share restricted and pre-release datasets.
BIL serves a geographically distributed customer base including large confocal imaging centers that are generating petabytes of confocal imaging datasets per year. For these customers, the library serves as an archive facility for whole brain volumetric datasets from mammals. BIL also serves geographically distributed researchers who want to interact with and download library datasets.
The Brain Image Library is operated as a partnership between the Biomedical Applications Group at the Pittsburgh Supercomputing Center and the Center for Biological Imaging at the University of Pittsburgh.
This open-source code repository consists of contributions from a diverse group of authors, including undergraduate students, graduate students and pre-college students. These individuals demonstrate their passion for coding and their eagerness to learn and collaborate in the world of open-source development.
For a full list of authors explore the AUTHORS file.
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The Biomedical Applications Group at the Pittsburgh Supercomputing Center in the Mellon College of Science at Carnegie Mellon University.