NMR MICROSCOPY OF SINGLE NEURAL CELLS & BRAIN SLICES

单个神经细胞的核磁共振显微镜

• 批准号: 7369576
• 负责人: STEPHEN J. BLACKBAND
• 金额: $ 0.58万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-05-01 至 2007-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7369576
• 关键词: NMR; MICROSCOPY; SINGLE; NEURAL; CELLS

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Studies continue exploring the fundamental origins of MR signals in tissues by using a variety of models ranging from perfused isolated tissue (brain and heart) slices through isolated single cells and blood cell ghosts. The goal is to determine the origins of multiexponential water diffusion observed in tissues in the anticipation that this information can lead to a quantitative understanding of signals changes in clinical MRI. Modeling the signal characteristics in diffusion measurements in neural tissues continues. More recently we have begun to examine the effects of fixatives on these measurements, since it is well known that the MR signals change significantly with fixation. This is important for interpreting signals from fixed tissue and making comparisons with in vivo data. Additionally we have begun to examine the effect of temperature on the diffusion curves, measuring temperature dependant changes in the ADC and exchange rate as determined by our models.

该子项目是利用NIH/NCRR资助的中心赠款提供的资源的许多研究子项目之一。子项目和研究者（PI）可能从另一个NIH来源获得主要资金，因此可以在其他CRISP条目中表示。所列机构为中心，不一定是研究者所在机构。研究继续探索组织中MR信号的基本来源，通过使用各种模型，从灌注的分离组织（脑和心脏）切片到分离的单细胞和血细胞鬼。我们的目标是确定在组织中观察到的多指数水扩散的起源，预期这些信息可以导致对临床MRI信号变化的定量理解。 继续对神经组织中的扩散测量中的信号特性进行建模。最近，我们已经开始研究固定剂对这些测量的影响，因为众所周知，MR信号随着固定而显著变化。这对于解释来自固定组织的信号并与体内数据进行比较是重要的。此外，我们已经开始研究温度对扩散曲线的影响，测量ADC和交换率的温度依赖性变化，如我们的模型所确定的。