"LabOS" Closed-loop, Protocol-driven, Data Acquisition & Experiment Control
"LabOS" Closed-loop, Protocol-driven, Data Acquisition & Experiment Control
批准号:
7253992
负责人:
Joel M Miller
金额:
$14.07万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2006
资助国家:
美国
项目状态:
已结题
起止时间:
2006-07-03 至 2010-06-30
关键词:
AddressArchitectureBackBehaviorBehavioralBiologicalBiomedical ResearchBiteBrain StemBuffersCodeComplexComputer softwareComputersCustomDataData CollectionData SetDatabasesDependenceDependencyDevelopmentDevicesDocumentationElementsEmployee StrikesEquipmentEye MovementsFaceFeedbackFigs - dietaryGeneric DrugsHumanIntellectual PropertyInterventionLaboratoriesLanguageLeftLibrariesLifeLinuxMaintenanceMethodsModificationMonitorNumbersOnline SystemsOperating SystemOperative Surgical ProceduresOutputPerformancePersonal SatisfactionPliabilityPreparationPrincipal InvestigatorProcessProductionProgram DevelopmentProtocols documentationProviderPublic HealthPurposeRangeRateResearch PersonnelResolutionResourcesRunningSamplingScienceServicesSignal TransductionSiteSolutionsSorting - Cell MovementSourceSpeedStructureSuggestionSystemTestingTextTimeVisualWorkWritinganalogaustinbasecostdata acquisitiondesigndigitalexperienceexperimental analysisfeedinggraphical user interfaceinnovationinstrumentprogramsprototyperesearch studyresponsesoftware systemstool
中文摘要
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。
英文摘要
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.
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会议论文
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