Groundwork for a Synchrotron MicroCT Imaging Resource for Biology (SMIRB)

摘要 我们请求变更和翻新补充资金，以使我们能够完成关键的初步工作 我们项目的目标，为生物学的同步加速器微CT资源奠定基础。已启用的工作 将扩大对这项新技术在各种模式中的潜在影响的理解 系统和实验问题。具体地说，这笔资金将允许我们搬进一个新房间 最近由宾夕法尼亚州立医学院授予，将使我们能够容纳合作 人员的计算空间，以及两台微型CT机器。新的“生产型”微型CT 成像系统将创建一种方法来继续扫描一系列合作者的试点样本，同时 我们继续不间断地在第一个系统上进行开发工作，以增加视野， 吞吐量和图像质量。目前急需补充资金的原因是 最近收到了一种新的12毫米视场系统，它大大增加了样品的类型， 可以使用我们的新技术进行成像-这一系统进步是由去年的 副刊。简而言之，3D图像的泛细胞、全体积特性将允许前所未有的 描述所有生物的生命和组织结构多样性的广度和深度。这个 补充剂将极大地提高我们通过创造新的 显微解剖和解剖锚用于其他成像模式，例如免疫组织化学， 免疫荧光和核磁共振，以及转录组学、蛋白质组学、代谢组学等 分子“组学”数据。

Abstract We request Alternation and Renovation supplementary funds to allow us to accomplish critical primary goals of our project, Groundwork for a Synchrotron MicroCT Resource for Biology. The enabled work will broaden understanding of the potential impact of this new technology across a variety of model systems and experimental questions. Specifically, the funds would allow us to move into a new room recently awarded by Penn State College of Medicine that will allow us to accommodate collaborative computational space for personnel, as well as two microCT machines. The new “production” microCT imaging system will create a way to continue scanning pilot samples for a range of collaborators while we continue uninterrupted “developmental” work on the first system to increase field-of-view, throughput, and image quality. The urgency for supplementary funds at this time is caused by the recent receipt of a new 12 mm field-of-view system that greatly increases the types of samples that can be imaged using our new technology – a system advance made possible by last year’s supplement. In short, the pan-cellular, full volume nature of the 3D images will allow unprecedented scope and depth of characterization of the diversity of life and tissue structure across all organisms. The supplement will greatly increase our ability to advance the new field of spatial biology by creating new microanatomic and anatomic anchors for other imaging modes such as immunohistochemistry, immunofluorescence, and MRI, and for transcriptomics, proteomics, metabolomics and other molecular “-omics” data.