Scientific Core

科学核心-摘要 我们的P50临床研究中心的科学核心建立在共享的悠久历史之上， 伊顿-皮博迪实验室的基础设施，由三个研究核心组成， PI Liberman：1）设计、构建、编程和维护数据采集的工程核心 系统、定制声学设备和刺激生成系统，以提供精确的 机械加工服务，为各种研究定制机械设备 应用程序，并与更大的科学家分享这些软件和硬件的进步。 社区; 2）组织学-外科核心，以维护和储存共享的湿实验室设施， 组织学处理和共用动物手术设施，沿着受管制物质 许可证，培训新用户的组织学和外科技术，并不断提高 整个中心组织学准备的质量;以及3）成像核心，以保持 培训用户使用共享的共聚焦和落射荧光显微镜，并支持数字化 图像采集和分析，通过商业软件包，或在必要时， 创建定制软件，进一步实现形态测量和三维重建的自动化 和渲染。 核心的公共性质提供了许多重要的好处，包括：1） 加强组间沟通，2）提供规模经济，3）消除重复 的努力涉及维护单独的调查人员基础设施，4）帮助调查人员 在分享技术专门知识的基础上，将新的办法纳入其工作范围 跨研究人员和学科，以及5）允许创建共享硬件， 软件系统的功能远远超出了工作在 隔离

Scientific Core – Summary Abstract The Scientific Core of our P50 Clinical Research Center builds on the long history of shared infrastructure at the Eaton-Peabody Laboratories, and consists of three Research Cores led by PI Liberman: 1) an Engineering Core to design, build, program and maintain data-acquisition systems, custom acoustical devices, and stimulus generation systems, to provide a precision machining service to build custom mechanical devices for a wide variety of research applications, and to share these software and hardware advances with the greater scientific community; 2) a Histology-Surgery Core to maintain and stock a shared wet-lab facility for histological processing and shared animal-surgery facilities, along with controlled substance licensure, to train new users on histological and surgical techniques and to continually enhance the quality of histological preparation throughout the Center; and 3) an Imaging Core to maintain and train users on the shared confocal and epifluoresence microscopes, and to support digital image-acquisition and analysis, via commercial software packages or, when necessary, via creation of custom software to allow further automation of morphometry and 3-D reconstruction and rendering. The communal nature of the Cores provide a number of significant benefits including: 1) enhancing inter-group communication, 2) providing economy of scale, 3) eliminating duplication of effort involved maintaining separate Investigator-based facilities, 4) helping investigators incorporate new approaches into their repertoire, based on the sharing of technical expertise across researchers and disciplines, and 5) allowing the creation of shared hardware and software systems with capabilities far beyond that achievable by individual PIs working in isolation.