Combinatorial NeuroImaging Core Facility

组合神经影像核心设施

• 批准号: 213870801
• 负责人: Dr. André Brechmann
• 金额: --
• 依托单位: Leibniz-Institut für Neurobiologie (LIN)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2012
• 资助国家: 德国
• 起止时间: 2011-12-31 至 2018-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/213870801?language=en
• 关键词: Combinatorial; NeuroImaging; Core; Facility

The Leibniz-Institute for Neurobiology is an internationally renowned research center for neurobiology. It focuses on the mechanisms of learning and memory at all functional and organizational levels of the brain. For this purpose, it hosts several large-scale imaging devices in two Special Labs for Non-invasive Brain Imaging and for Electron and Laserscanning Microscopy. These Special Labs operate the instruments, provide service to the local research groups and perform own research.The DFG-funded Combinatorial NeuroImaging Core Facility (CNI) was established in October 2012. Its overall goal is the professionalization of operation and service of the costly research instrumentation and the establishment of a neuroimaging infrastructure and dialogue platform. The imaging modalities operated by the CNI are part of the above mentioned special labs and include techniques on different scales from human imaging via animal imaging to advanced light- and electron microscopy. Since its establishment, the core facility was upgraded with a 3 Tesla MR scanner and a multi channel 3D STED. A 9,4 Tesla animal MR scanner will be added in 2016/17.The services offered include the comprehensive support of scientific projects in the field of neurobiology, trainings in the safe and competent operation of the equipment, support in data collection and analysis as well as workshops and conferences that enable an application oriented knowledge transfer and a comprehensive networking. The aim of this concept is to foster collaborative research that bridges the different levels of brain imaging, thus generating synergistic effects. More than 90 projects including 20 from external users have been realized.For optimal user service, transparent procedures for access and a web based application form have been developed. A standardized online booking system for all imaging modalities was established, a billing system and quality assurance were introduced. Regular trainings and workshops are offered, best practice manuals, tutorials, protocols and a wiki have been created. The CNI maintains a comprehensive networking with the local, national and international imaging community. In 2013, the CNI participated in the first Call for nodes of Euro-BioImaging. Its Expression of interest gained the best possible result highly recommended.For the years 2016/17 the overarching goal of the CNI is the further professionalization of its work with a special focus on the continuation and extension of the core facility services. Particularly, we plan the integration of additional advanced instrumentation, the optimization of user services by extending the quality assurance with regard to user satisfaction, the further development of the IT support, the implementation of essential legal foundations for new collaborations and networking on national, European and international level, an extended offer of courses and trainings, and a sustainable financial model.

莱布尼茨神经生物学研究所是国际知名的神经生物学研究中心。它侧重于学习和记忆的机制在大脑的所有功能和组织水平。为此，它在两个非侵入性脑成像和电子和激光扫描显微镜的特殊实验室中托管了几个大型成像设备。这些特殊实验室操作仪器，为当地研究小组提供服务，并进行自己的研究。DFG资助的组合神经成像核心设施（CNI）成立于2012年10月。其总体目标是使昂贵的研究仪器的操作和服务专业化，并建立神经成像基础设施和对话平台。CNI操作的成像模式是上述特殊实验室的一部分，包括不同规模的技术，从人类成像到动物成像，再到先进的光学和电子显微镜。自成立以来，核心设施已升级为3特斯拉MR扫描仪和多通道3D STED。2016/17年度将增加一台9.4特斯拉的动物磁共振扫描仪。提供的服务包括神经生物学领域科学项目的全面支持，设备安全和合格操作的培训，数据收集和分析的支持，以及实现面向应用的知识转移和全面网络的研讨会和会议。这一概念的目的是促进合作研究，将不同层次的大脑成像联系起来，从而产生协同效应。已完成90多个项目，包括20个外部用户的项目。为了优化用户服务，已制定了透明的访问程序和基于网络的申请表。建立了所有成像模式的标准化在线预订系统，采用了计费系统和质量保证。提供定期培训和讲习班，并创建了最佳做法手册、教程、协议和维基。CNI与地方、国家和国际成像界保持全面的网络联系。2013年，CNI参加了欧洲生物成像节点的第一次呼吁。2016/17年度，CNI的总体目标是进一步实现其工作的专业化，特别关注核心设施服务的延续和扩展。特别是，我们计划整合更多的先进仪器，通过扩大用户满意度的质量保证来优化用户服务，进一步发展IT支持，为国家，欧洲和国际层面的新合作和网络建立必要的法律的基础，提供更多的课程和培训，以及可持续的财务模式。

项目成果

Time domain diffuse Raman spectrometer based on a TCSPC camera for the depth analysis of diffusive media.

• DOI: 10.1364/ol.43.002134
• 发表时间: 2018-05
• 期刊: Optics letters
• 影响因子: 3.6
• 作者: S. Sekar;S. Mosca;S. Tannert;G. Valentini;F. Martelli;T. Binzoni;Y. Prokazov;E. Turbin;W. Zuschratter;R. Erdmann;A. Pifferi