"LabOS" Closed-loop, Protocol-driven, Data Acquisition & Experiment Control

描述（申请人提供）：重要目标：生物医学研究、人类行为和其他实验室与活体对象一起工作，并执行软件“解决方案”提供商无法预料的复杂实验，必须花费大量资源创建和维护数据采集和控制（DAQ&C）系统，这些系统由于其复杂性或记录不良而在其他实验室中很少有用，并且由于设计限制和硬件依赖性而很快变得过时。我们有一个DAQ&C系统的工作原型，称为“LabOS”，[1]可用于“操作员”，“实验员”和“程序员”级别，并提供[2]确定性（“硬”）以千赫速率进行闭环控制，[3]高速缓冲采样（例如，用于尖峰分析），[4]多线程，基于状态机，视情况而定，实验性协议，以及[5]一个现代的，丰富的信息，实时图形界面，用于查看和控制正在进行的实验，[6]在多个平台上，不依赖于不寻常的或单一来源的硬件。我们现在建议[1]分割和强化系统，以便用户可修改的部分可以轻松安全地重新配置，其他部分不可见，[2]概括LabOS的某些方面以支持其最广泛的使用，[3]提供数据导出工具，[4]优化平台独立性[5]生成上下文，参考和教程文档，[6]支持基于Web的组件库，以及[7]在一个扩展的开发周期中进行beta测试程序，以评估初始用户的经验和建议。方法：在LabVIEW-RT（r）下用“G”语言编写LabOS。LabOS控制台可在Mac OS X、Windows或Linux下运行。LabOS服务器和控制器在Ardence PharLap ETS（r）下运行在任何National Instruments（TM）实时硬件目标上，包括PXI机箱、PCI板和一些台式PC。公共卫生相关性：获得良好控制的实验数据定义了经验科学，然而，现有的DAQ&C系统无法支持复杂的实验，需要持续的程序员支持，或者只支持专业的流行范式。提供执行创新生物医学实验的能力和灵活性的DAQ&C系统将具有巨大的科学和财政价值。

DESCRIPTION (provided by applicant): Significant Aims: Biomedical research, human performance and other laboratories that work with living subjects and perform complex experiments unanticipated by software "solution" providers, must expend significant resources creating & maintaining data acquisition and control (DAQ&C) systems that are seldom useful in other labs because of their complexity or poor documentation, and quickly become obsolete because of design limitations and hardware dependencies. We have a working prototype of a DAQ&C system, called "LabOS" that [1] is usable at "Operator", "Experimenter" and "Programmer" levels, and provides [2] deterministic ("hard") closed-loop control at kilohertz rates, [3] high speed buffered sampling (eg, for spike profiling), [4] multi-thread, state machine based, data-contingent, experimental protocols, and [5] a modern, richly informative, realtime graphical interface for viewing & controlling ongoing experiments, [6] on multiple platforms, with no dependence on unusual or single-source hardware. We now propose to [1] segment & harden the system so that user modifiable parts are easily & safely reconfigured, and other parts are invisible, [2] generalize certain aspects of LabOS to support its widest possible use, [3] provide data export tools, [4] optimize platform independence [5] produce contextual, reference and tutorial documentation, [6] support a web-based component library, and [7] conduct a beta test program to evaluate the experiences and suggestions of initial users, in an extended development cycle. Methods: LabOS is written in "G" under LabVIEW-RT(r). The LabOS Console runs under Mac OS X, Windows or Linux. The LabOS Server & Controller run under Ardence PharLap ETS(r) on any National Instruments(TM) real-time hardware target, including PXI chassis, PCI boards, and some desktop PCs. Public Health Relevance: Acquisition of well-controlled, experimental data defines empirical science, and yet, available DAQ&C systems are incapable of supporting complex experiments, require ongoing programmer support, or support only specialized, popular paradigms. A DAQ&C system providing the power and flexibility to perform innovative biomedical experiments would be of great scientific and fiscal value.