Flow Cytometry: Digital Processing of Cellular Information

流式细胞术：细胞信息的数字处理

• 批准号: 9604929
• 负责人: David Galbraith
• 金额: $ 54.8万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-02-01 至 2001-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9604929&HistoricalAwards=false
• 关键词: Flow; Cytometry; Digital; Processing; Cellular

This project involves the further design, construction, and evaluation of data acquisition and analysis hardware to be interfaced to a flow cytometer. This hardware employs digital pulse waveform processing, and during the prior period of funding, we developed and evaluated a first-generation design. In this proposal, we aim to develop second-generation hardware, that will provide improved rates of cellular analysis. We also propose a thorough practical and theoretical examination of the types of biological information that can be obtained using digital pulse processing in flow cytometry, and the algorithms that are required to extract this information. We finally propose to see whether we can improve the performance of the hardware through increasing the spatial resolution of the optics of the flow cytometer. The expected significance of the proposed research relies on the observation that the instrumentation is novel in capability, and can provide information about cells that is inaccessible using other instruments. The development of a second-generation instrument will allow full implementation of digital pulse processing in flow cytometry and cell sorting. The ability to rapidly analyze and sort cells according to novel optical parameters should greatly extend our ability to probe the cellular and molecular factors that govern the operation of living cells. This should facilitate a deeper understanding of normal cellular growth and development, as well as of abnormal growth and disease states. This might lead to instrumentation with improved diagnostic and prognostic capabilities. We are convinced that the interdisciplinary approach integral to this project, which combines expertise in very different scientific fields (engineering, optics, and biology), has considerable potential to produce instrumentation and methods that will significantly extend our understanding of the structure and function of living cells.

该项目涉及数据采集和分析硬件的进一步设计，构建和评估，该硬件与流式细胞仪相连。该硬件采用了数字脉冲波形处理，在上一期资金期间，我们开发并评估了第一代设计。在此提案中，我们旨在开发第二代硬件，这将提供提高的细胞分析速率。我们还提出了可以使用流式细胞仪中数字脉冲处理可以获得的生物信息类型的彻底实用和理论检查，以及提取此信息所需的算法。我们最终建议通过增加流式细胞仪光学器件的空间分辨率来提高硬件的性能。 拟议研究的预期意义取决于仪器在能力上是新颖的观察，并且可以提供有关使用其他仪器无法访问的细胞的信息。第二代仪器的开发将允许在流式细胞仪和细胞分类中充分实施数字脉冲处理。根据新的光学参数快速分析和分类细胞的能力应极大地扩展我们探测控制活细胞运行的细胞和分子因子的能力。这应该有助于更深入地了解正常的细胞生长和发育以及异常生长和疾病状态。这可能会导致仪器，并提高诊断和预后能力。我们坚信，该项目不可或缺的跨学科方法，该方法结合了非常不同的科学领域（工程，光学和生物学）的专业知识，具有产生仪器和方法的巨大潜力，这些方法将大大扩展我们对活细胞结构和功能的理解。