A Confocal Fluorescence Microscopy Brain Data Archive

项目总结 神经科学界收集的脑图像数据将继续增长 在接下来的5-10年内，随着对物理上更大容量的映像的推动，例如 人类和其他灵长类动物的整个大脑成为焦点。科学界，与 在NIH数据共享政策的支持下，期待这些有价值的数据被共享和制作 以尽可能快的速度提供给社区。 脑图像库(BIL)是为神经科学界提供服务的公共资源，通过 提供用于共享大脑生成的显微镜数据的持久可伸缩存储库 研究人员。重要的是，原始数据可以通过BIL存档，并且所有后处理和 分析可以在BIL完成，并迅速公开。BIL最大化数据 通过提供对一系列社区特定软件套件和用户的快速访问，实现可重用性 可以快速访问各种高性能计算的特定软件 资源包括GPU、CPU、高内存和机器学习节点。这种一站式访问 鼓励重复使用数据，使其易于被各种科学家和 促进透明度和科学发现，因为任何荟萃分析的结果都可以 公开并直接绑定到原始数据内容。

PROJECT SUMMARY Brain image data collected by the neuroscience community will continue to grow dramatically in the next 5-10 years as the push to image physically larger volumes, such as whole brains from humans and other primates, becomes a focus. The scientific community, with the support of NIH data sharing policies, expect this valuable data to be shared and made available to the community as rapidly as possible. The Brain Image Library (BIL) is a public resource serving the neuroscience community by providing a persistent scalable repository for sharing microscopy data generated by brain researchers. Importantly, raw data can be archived with BIL, and all post-processing and analysis can be completed at BIL and rapidly made publicly available. BIL maximizes data reusability by providing rapid access to a range of community-specific software suites and user- specific software which can quickly access a variety of high-performance computational resources including GPU, CPU, high-RAM and machine learning nodes. This one-stop access encourages the reuse of data by making it easily accessible to a variety of scientists and promotes transparency and scientific discovery as the outcomes of any meta-analysis can be made public and tied directly to the original data content.