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Cell Image Library

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DataCite Commons2025-04-30 更新2025-04-16 收录
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https://library.ucsd.edu/dc/collection/bb42043698
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资源简介:
The Cell Image Library (CIL) is an established, easy to access, and highly subscribed community repository for the ingestion, archival, preservation, management, distribution, and reuse of multi-scale microscopy data encompassing cellular networks, cellular and subcellular microdomains, and their macromolecular components. The CIL is comprised of software for researchers to upload, organize, process, and share project data prior to publication, as well as a searchable, public-facing website for users to disseminate their results and freely distribute their data for access and reuse by others. This website includes advanced cyberinfrastructure services and deep-learning based workflows, which make use of prominent high performance computing resources on the backend, allowing CIL users to automatically post-process and analyze public data at scale. The team operating the CIL is comprised of interdisciplinary experts, with multiple decades of experience working together to manage this resource for the community. The PI is mutually accomplished in advanced microscopy and imaging, database development and data integration, and the use of high performance computing. The technical team have contributed not only to the development and operation of CIL but to several large-scale information technology and cyberinfrastructure programs.

细胞图像库(Cell Image Library,CIL)是一款成熟易用、广受关注的社区型资源库,可实现多尺度显微数据的入库、归档、保存、管理、分发与复用,涵盖细胞网络、细胞及亚细胞微区及其大分子组分。CIL包含供研究人员在论文发表前上传、整理、处理与共享项目数据的软件工具,同时搭载可检索的公开门户网站,方便用户传播研究成果,并免费分发数据以供他人获取与复用。该门户网站集成了先进的科研网络基础设施(cyberinfrastructure)服务与基于深度学习的工作流,依托后端顶尖高性能计算资源,可支持CIL用户大规模自动完成公开数据的后处理与分析工作。负责运维CIL的团队由跨学科专家组成,拥有数十年协同为社区管理该资源库的丰富经验。该库的首席研究员(Principal Investigator,PI)在先进显微与成像技术、数据库开发与数据集成,以及高性能计算应用领域均造诣深厚。技术团队不仅参与了CIL的开发与运维,还参与了多项大型信息技术与科研网络基础设施项目。
创建时间:
2021-04-09
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