Large-Scale Reconstruction of Microvascular Networks and the Surrounding Cellular

描述（由申请人提供）：职业发展计划是为大卫Mayerich博士，计算机科学家谁是致力于发展生物医学工程的跨学科的职业生涯，重点是收集和分析大规模数据集在亚微米分辨率。他的研究生研究是在计算机可视化和光学成像领域，在那里他的工作导致原型的边缘扫描显微镜（KESM）的发展。这是第一台能够以亚微米分辨率对三维宏观组织体积成像的仪器，同时提供接近大多数现代计算机系统传输速度的数据速率。 自从获得博士学位后，Mayerich博士曾在伊利诺伊大学香槟分校贝克曼高级科学与技术研究所担任博士后研究员，在那里他与生物学家和生物医学工程师合作开发大型数据集分割和分类工具。这为解决跨学科社区可用的计算工具的需求和局限性提供了经验。 本提案的指导阶段的目标是为Mayerich博士提供作为FARSIGHT工具包开发人员工作的机会。FARSIGHT工具包是一个开源分割工具包，专注于开发专门针对显微镜数据集中发现的独特结构的计算机视觉算法。该项目由教授指导。 Badrinath Roysam在休斯顿大学，并在NIH赞助的DIADEM神经元分割挑战赛中获得第一名。Mayerich博士将利用他以前在生物医学分割、基于GPU的计算和高效数据结构方面的经验，帮助FARSIGHT Toolkit可扩展到使用下一代高通量成像技术生成的TB级数据集。Mayerich博士将接受FARSIGHT工具包中使用的算法和技术的指导，以及在协作软件开发项目中工作的宝贵经验。 独立阶段的目标是使用最近开发的成像技术，沿着可扩展的分割算法，构建完整的小鼠器官微血管模型。KESM的最新进展表明，可以在不到50小时的时间内收集1cm 3组织样本的亚微米图像。这些图像具有（a）完整重建整个器官中的微血管网络和（B）细胞索马相对于该网络的几何分布所需的分辨率和质量。描述细胞和 微血管关系在包括神经变性疾病和肿瘤生长在内的几种疾病中，以及在组织工程和血管生成药物和疗法的定量分析中的临床应用中具有意义。

DESCRIPTION (provided by applicant): A career development plan is proposed for Dr. David Mayerich, a computer scientist who is committed to developing an interdisciplinary career in biomedical engineering, with a focus on the collection and analysis of large-scale data sets at sub-micrometer resolution. His graduate research was in the areas of computer visualization and optical imaging, where his work lead to the development of the prototype Knife-Edge Scanning Microscope (KESM). This is the first instrument capable of imaging three-dimensional macro-scale tissue volumes at sub-micrometer resolution while providing a data rate approaching the transfer speed of most modern computer systems. Since receiving his Ph.D., Dr. Mayerich worked as a postdoctoral fellow at the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign, where he has worked with biologists and biomedical engineers to develop tools for the segmentation and classification of large data sets. This provided experience in addressing the needs and limitations of the computational tools available to the interdisciplinary community. The goal of the mentored phase of this proposal is to provide Dr. Mayerich with the opportunity to work as a developer for the FARSIGHT Toolkit. The FARSIGHT Toolkit is an open-source segmentation toolkit that focuses on developing computer vision algorithms specifically tailored to deal with the unique structures found in microscopy data sets. This project is directed by Prof. Badrinath Roysam at the University of Houston, and was awarded first-place in the NIH-sponsored DIADEM Challenge in neuron segmentation. Dr. Mayerich will use his previous experience in biomedical segmentation, GPU-based computing, and efficient data structures to help make the FARSIGHT Toolkit scalable to the terabyte-scale data sets produced using next-generation high-throughput imaging techniques. Dr. Mayerich will receive mentoring in the algorithms and techniques used in the FARSIGHT Toolkit, as well as valuable experience working on a collaborative software development project. The goal of the independent phase is to use recently developed imaging techniques, along with scalable segmentation algorithms, to construct complete microvascular models of mouse organs. Recent advances in KESM demonstrate that sub-micrometer images of 1cm3 tissue samples can be collected in less than 50 hours. These images have the resolution and quality necessary for (a) complete reconstruction of microvascular networks in whole organs, and (b) the geometric distribution of cell soma in relation to this network. Models describing cellular and microvascular relationships have implications in several diseases, including neurodegenerative disease and tumor growth, as well as clinical applications in tissue engineering and the quantitative analysis of angiogenic drugs and therapies.