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Ivan Cao-Berg
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The Brain Image Library (BIL) enables researchers to deposit, analyze, share, and interact with large brain image datasets. It serves as an archive facility for volumetric datasets and allows researchers to download and process datasets. This open-source repository has contributions from a diverse group of authors, showcasing their passion for coding and eagerness to learn and collaborate. For a full list of authors, explore the AUTHORS file.
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README.md

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![](images/logo.jpg)
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# Brain Image Library
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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.
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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.
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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.
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The Brain Image Library is operated as a partnership between the Biomedical Applications Group at the [Pittsburgh Supercomputing Center](https://www.psc.edu/) and the Center for Biological Imaging at the University of Pittsburgh.
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## About the authors
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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.
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Despite their relatively early stages in their academic journeys, they actively contribute to the repository, showcasing their creativity, problem-solving skills, and dedication to advancing technology.
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For a full list of authors explore the `AUTHORS` file.
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Copyright © 2023 Pittsburgh Supercomputing Center. All Rights Reserved.
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images/logo.jpg

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