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Optische Pinzette mit Doppelfalle sowie Teilchennachverfolgung

Optische Pinzette mit Doppelfalle sowie Teilchennachverfolgung
具有双陷阱和粒子跟踪功能的光镊
批准号:
181799901
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Major Research Instrumentation
财政年份:
2010
资助国家:
德国
项目状态:
未结题
起止时间:
2009-12-31 至 --

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中文摘要
翻译
“与我们建立的定制单光束光学镊子设置与视频检测相比,具有双焦点四象限二极管检测的商业双光束光学镊子设备将具有几个重要的概念优势。最突出的优点是时间分辨率高得多,约为10 μs。这将使我们能够研究单一的生化对相互作用事件,如受体-配体相互作用,在一个更精确和详细的方式比它是可行的与目前的设备。此外,一个显着增加的时间粒子跟踪分辨率将为我们提供继续和推进我们的实验研究的新的和有前途的随机热动力学的分支的能力。此外,具有在空间和强度上可自由操纵的光学陷阱的双光束配置在任何种类的双胶体实验期间提供了针对漂移效应的增加的时间稳定性。因此,与我们目前的单束移液管方法相比,这种配置是相当优越的上级,并且将导致改进的结果。结合所使用的流体单元的技术上所需的平坦设计,这些可自由操纵的陷阱允许自动搜索和陷阱算法的非常容易的实施。这种自动捕获算法将是朝着相关实验的完全自动化迈出的重要一步,这将最终使我们能够以合理的高通量和统计数据测量单个生物化学和生物物理事件。“
英文摘要
„Compared to our established custom made single beam optical tweezers setup with video detection, a commercial dual beam optical tweezers device with bifocal four-quadrant-diode detection, will have several significant conceptual advantages. The most outstanding benefit is to be found in the much higher temporal resolution of approximately 10 μs. This would enable us to study single biochemical pair interaction events, like receptor-ligand-interaction, in a much more precise and detailed fashion than it is feasible with the present equipment. Moreover, a significantly increased temporal particle tracking resolution would provide us with the capability to continue and advance our experimental research on the novel and promising branch of stochastic thermo-dynamics. Furthermore, a dual beam configuration with optical traps being freely steerable in space and strength offers an increased temporal stability against drift effects during any kind of two-colloid experiments. As a result, this configuration is considerably superior compared to our present single beam pipette approach and will lead to improved results. In combination with the technically required flat design of the used fluidic cells, these freely steerable traps allow a comparably easy implementation of an automated seek-and-trap algorithm. Such an auto-trapping algorithm would be a major step forward towards a complete automation of the pertinent experiments which would eventually enable us to measure single biochemical and biophysical events with reasonably high throughput and statistics.“
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