التفاصيل البيبلوغرافية
| العنوان: |
The Brain Image Library: A Community-Contributed Microscopy Resource for Neuroscientists. |
| المؤلفون: |
Kenney M, Vasylieva I, Hood G, Cao-Berg I, Tuite L, Laghaei R, Smith MC, Watson AM, Ropelewski AJ |
| المصدر: |
BioRxiv : the preprint server for biology [bioRxiv] 2024 May 08. Date of Electronic Publication: 2024 May 08. |
| نوع المنشور: |
Preprint |
| اللغة: |
English |
| بيانات الدورية: |
Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE |
| مستخلص: |
Advancements in microscopy techniques and computing technologies have enabled researchers to digitally reconstruct brains at micron scale. As a result, community efforts like the BRAIN Initiative Cell Census Network (BICCN) have generated thousands of whole-brain imaging datasets to trace neuronal circuitry and comprehensively map cell types. This data holds valuable information that extends beyond initial analyses, opening avenues for variation studies and robust classification of cell types in specific brain regions. However, the size and heterogeneity of these imaging data have historically made storage, sharing, and analysis difficult for individual investigators and impractical on a broad community scale. Here, we introduce the Brain Image Library (BIL), a public resource serving the neuroscience community that provides a persistent centralized repository for brain microscopy data. BIL currently holds thousands of brain datasets and provides an integrated analysis ecosystem, allowing for exploration, visualization, and data access without the need to download, thus encouraging scientific discovery and data reuse. |
| تواريخ الأحداث: |
Date Created: 20240108 Latest Revision: 20240511 |
| رمز التحديث: |
20240511 |
| مُعرف محوري في PubMed: |
PMC10769375 |
| DOI: |
10.1101/2023.12.22.573024 |
| PMID: |
38187527 |
| قاعدة البيانات: |
MEDLINE |
