Image Processing of Immunological Microscopy Samples

描述（由申请人提供）：显微镜，特别是， 荧光显微镜作为改善生物学特性的工具发挥着越来越重要的作用。 理解细胞过程，如受体聚集和 贩卖人口本申请源自许多免疫学研究。 由Co-PI进行的研究。这些研究涉及到 自身免疫性疾病模型中T细胞受体的识别问题 （实验性自身免疫性脑脊髓炎（EAE）;胶原诱导的关节炎） (CIA)以及MHC I类相关受体FcRn的运输。 这个多学科生物工程项目的总体目标是 为分析实验结果提供了重要的附加工具 使用荧光显微镜获得，重点是三个工具 三维图像集。申请的前提是，在一些 分析能力落后于最近的发展， 硬件和样品制备方法。拟定的研究将 研究免疫学中各种问题的新方法和途径， 细胞生物学所有提出的方法将严格分析， 模拟和实验数据。我们的具体目标是：第一，调查 聚类和共定位的定量分析方法。第二、 将分析去卷积算法和若干修改。三是 将编写用于荧光采集和分析软件套件 显微镜图像。此软件包的功能不仅包括 必要的功能，以实现先前的具体目标，但将 为高级图像分析提供强大的开发环境， 显微镜

DESCRIPTION (provided by the applicant): Microscopy and, in particular, fluorescence microscopy plays an ever increasing role as a tool to improve the understanding of cellular processes such as receptor clustering and trafficking. The present application originated from a number of immunological studies which are being carried out by the co-PI. These studies relate to questions of recognition by the T cell receptor in autoimmune disease models (experimental autoimmune encephalomyelitis (EAE); collagen induced arthritis (CIA) and trafficking of the MHC class I-related receptor, FcRn. The overall objective of this multidisciplinary bioengineering project is to provide important additional tools for the analysis of experimental results obtained using fluorescence microscopy, with the emphasis on tools for three dimensional image sets. The premise of the application is that in a number of respects the analysis capabilities lag behind the recent developments in hardware and sample preparation methodology. The proposed study will investigate new methods and approaches to various problems in immunology and cellular biology. All proposed approaches will be rigorously analyzed with simulated and experimental data. Our specific aims are: first, to investigate methods for quantitative analysis of clustering and co-localization. Second, deconvolution algorithms and several modifications will be analyzed. Third, a software suite will be written for acquisition and analysis of fluorescence microscopy images. The capabilities of this package will not only include the necessary functionality to carry out the earlier specific aims, but will provide a powerful development environment for advanced image analysis for microscopy.