MICROSCOPY IMAGE ANALYSIS AND VISUALIZATION

这个子项目是许多利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 国家显微镜和成像研究中心（NCMIR），由Mark Ellisman博士领导， 加州圣地亚哥，是一个NCRR NIH生物医学技术研究中心，建立了先进的，计算机- 用于获取结构和功能数据的辅助显微镜。CIBC与NCMIR合作的目标是 开发图像分析算法和软件，帮助生物医学研究人员了解结构和功能 细胞和组织内的关系，通过一系列的规模从大分子复合体细胞器和多， 像突触一样的组成结构。我们的其他几个合作者已经确定了细胞的提取和分析 几何从显微镜数据作为一个重要的障碍，在他们的研究，所以我们的工具，我们开发的NCMIR预计 对其他研究人员立即有用。我们认为显微镜数据没有得到同样程度的关注 从图像处理社区的许多更临床导向的成像模式，并提供独特的， 重要的挑战。例如，我们正在开发用于分割EMT数据的工具， 构建自适应3D网格以向社区发布。

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 segmenting EMT data and constructing adaptive 3D meshes for release to the community.