Image Processing of Immunological Microscopy Samples

描述(由申请人提供)：显微镜，特别是， 荧光显微镜作为一种改善生物多样性的工具发挥着越来越大的作用。 了解细胞过程，如受体聚集和 贩卖人口。本申请起源于许多免疫学 由联合国际正在进行的研究。这些研究涉及 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)；胶原性关节炎 (CIA)和贩运MHC I类相关受体FcRN。 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重要的附加工具 使用荧光显微镜获得的，重点是三种工具 多维图像集。应用的前提是在许多情况下 尊重分析能力落后于最近的发展 硬件和样品制备方法。拟议的研究将 探索解决免疫学中各种问题的新方法和新途径 细胞生物学。所有建议的方法都将经过严格的分析 模拟数据和实验数据。我们的具体目标是：第一，调查 聚类和共址的定量分析方法。第二, 将分析反卷积算法和几种修改。第三，a 将编写用于荧光采集和分析的软件套件 显微镜图像。此程序包的功能不仅包括 实现早期特定目标所需的功能，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.