MICROSCOPY IMAGE ANALYSIS AND VISUALIZATION

这个子项目是利用由NIH/NCRR资助的中心拨款提供的资源的许多研究子项目之一。子项目和调查员(PI)可能从另一个NIH来源获得了主要资金，因此可能会出现在其他CRISE条目中。列出的机构是针对中心的，而不一定是针对调查员的机构。由加州大学圣地亚哥分校Mark Ellisman博士领导的国家显微镜和成像研究中心(NCMIR)是NCRR NIH生物医学技术研究中心，旨在开发先进的计算机辅助显微镜，以获取结构和功能数据。CIBC与NCMIR合作的目标是开发图像分析算法和软件，通过从大分子复合体到细胞器和突触等多组分结构的一系列尺度，帮助生物医学研究人员了解细胞和组织内的结构和功能关系。我们的其他几位合作者已经发现，从显微镜数据中提取和分析细胞几何图形是他们研究中的一个重大障碍，因此我们与NCMIR共同开发的工具有望立即对其他研究人员有用。我们认为，显微数据没有像许多更面向临床的成像方式那样受到图像处理社区的同等程度的关注，并带来了独特而重要的挑战。例如，与NCMIR小组合作，我们正在开发用于对树突棘和线粒体结构的结构特性进行定量和主观分析的工具，这是一个具有挑战性的项目，需要分割重建的电子显微镜断层扫描体积，并研究新的体积可视化技术。

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. The National Center for Microscopy and Imaging Research (NCMIR), headed by Dr. Mark Ellisman at the University of California San Diego, is an NCRR NIH Biomedical Technology Research Center established to develop advanced, computer- aided microscopy for acquisition of structural and functional data. The goal of the CIBC collaboration with NCMIR is to develop image analysis algorithms and software to help biomedical researchers understand structural and functional relationships within cells and tissues through a range of scales from macromolecular complexes to organelles and multi- component structures like synapses. Several of our other collaborators have identified the extraction and analysis of cell geometry from microscopy data as a significant hurdle in their research, so the tools we develop with NCMIR are expected to be immediately useful to other researchers. We feel that microscopy data has not received the same level of attention from the image processing community as many of the more clinically oriented imaging modalities and offers unique and important challenges. With the NCMIR group, for example, we are developing tools for quantitative and subjective analysis of the structural properties of dendritic spines and mitochondrial structure, a challenging project that requires segmentation of reconstructed electron microscope tomography volumes and research into new volume visualization techniques.