PFI:AIR - TT: Cost Effective Solutions for Storage and Access of Massive Imagery

PFI:AIR - TT：海量图像存储和访问的经济高效解决方案

• 批准号: 1602127
• 负责人: Valerio Pascucci
• 金额: $ 19.94万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-05-01 至 2017-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1602127&HistoricalAwards=false
• 关键词: PFI; AIR; TT; Cost; Effective

This PFI: AIR Technology Translation project focuses on the potential to revolutionize how microscopy and medical devices are used and the science questions that they can answer. When image data size is no longer a restricting factor, new domains of study become possible relating the micro-scale to macro-scale, such as understanding the neural connectomics of the visual cortex. By removing the barrier of time, effort, and expertise to use large imagery, VisStore will enable scientists to scale their existing workflows. Such capability would open new investigations into fundamental biological processes, the origin and progression of diseases, and ultimately the drugs and procedures for curing them. Although initially tailored to life sciences applications, VisStore can be integrated in microscopy for new devices and emerging disciplines, such as precision medicine, material sciences and semiconductors. Furthermore, VisStore has the potential to ease the transition from current workflows to fully online cloud-based ones. Furthermore, VisStore and the hierarchical streaming infrastructure have the potential to become the de-facto standard for large volumetric images. This Accelerating Innovation Technology Translation project will support R&D to build a prototype of VisStore, a plug-and-play device for easy storing, archiving, accessing, distributing, and processing massive volumetric images coming from microscopy or medical devices. It translates research discovery toward commercial applications in the microscopy market which continues to grow, topping $4.1 billion in 2014 with an anticipated CAGR growth of 7.1%, while the addressed cyber-infrastructures to reliably store, easily access, and efficiently process such data have not kept pace. This has led to a discrepancy between the quality of data that could be produced, and what actually is used, as scientists unnecessarily restrict image sizes to match computational capabilities. Brute force solutions for scaling to massive images are expensive, difficult to maintain, and require expertise usually out of reach for smaller institutions. VisStore is a combined software/hardware/cloud solution that enables ease of use for image data of any size. No more complicated than a USB drive, VisStore allows users to easily access, process, and distribute giga and terapixel 2D and 3D images within a workgroup, a company, or even globally distributed environments. The technology behind VisStore enhances the state-of-the-art for handing massive image volumes. Modern software tools often stop scaling when data size exceeds main memory, and this has been a limiting factor for microscopy imagery. When dealing with image data, the hierarchical streaming software infrastructure implemented in VisStore essentially extends the memory hierarchy of a workstation to both an external network-attached hard drive (NAS), and even cloud-based storage. With each component acting as a cache, VisStore achieves performance through on-demand data access to proprietary file layout that minimizes the amount of data transferred between levels, enabling efficient scaling to images of any size. This will support development for: (i) automated ingestion and conversion of images coming from microscopy or medical devices; (ii) a simple user interface and tool to manage local and remote storage of data; and (iii) a tool to select and export data for integration with existing workflows. The project engages the Moran Eye Center, the Associated Regional and University Pathologists, Inc. (ARUP) laboratories and the Oregon Health & Science University to develop and tests a prototype acquiring giga- and teravoxel images and test its commercial value to translate this technology from research discovery towards a commercial reality. In particular, the graduate and undergraduate students supported by the project will be directly involved in these entrepreneurial activities. They will cooperate directly with the early adopters of the technology at the collaborating institutions and receive hands-on experience in how to identify and resolve their pain points and ultimately translate the raw technology into a product with commercial value.

该PFI：空气技术翻译项目的重点是革新显微镜和医疗设备以及他们可以回答的科学问题的潜力。当图像数据大小不再是限制因素时，新的研究领域可能会将微尺度与宏观尺度相关联，例如了解视觉皮层的神经连接组。通过消除使用大图像的时间，精力和专业知识的障碍，Visstore将使科学家能够扩展其现有的工作流程。这种能力将开放对基本生物学过程，疾病的起源和进展以及最终治愈它们的药物和程序的新调查。尽管最初是针对生命科学应用量身定制的，但Visstore可以集成在新设备和新兴学科的显微镜中，例如精密医学，材料科学和半导体。此外，Visstore有可能简化从当前的工作流程到完全基于云的工作流的过渡。此外，Visstore和分层流基础架构有可能成为大型体积图像的事实标准。这个加速的创新技术翻译项目将支持研发，以构建Visstore的原型，Visstore是一种插件播放设备，可轻松存储，存档，访问，分发和处理大量的体积图像来自显微镜或医疗设备。它将研究发现转化为显微镜市场中不断增长的商业应用，2014年高达41亿美元，预计CAGR的CAGR增长率为7.1％，而所解决的网络基础设施可靠地存储，易于访问并有效地处理此类数据并没有保持节奏。这导致了可以产生的数据质量与实际使用的内容之间的差异，因为科学家不必要地限制了图像大小以匹配计算功能。用于扩展到大量图像的蛮力解决方案很昂贵，难以维护，并且需要专业知识，通常需要较小的机构的专业知识。 Visstore是一种组合的软件/硬件/云解决方案，可易于使用任何大小的图像数据。 Visstore比USB驱动器更复杂，允许用户在工作组，公司甚至全球分布的环境中轻松访问，处理和分发GIGA和Terapixel 2D和3D图像。 Visstore背后的技术增强了最先进的图像量。当数据大小超过主内存时，现代软件工具通常会停止扩展，这是显微镜图像的限制因素。在处理图像数据时，在Visstore中实现的层次流媒体软件基础结构实质上将工作站的内存层次结构扩展到外部网络连接硬盘驱动器（NAS），甚至基于云的存储。由于每个组件充当缓存，Visstore通过按需数据访问对专有文件的布局实现性能，从而最大程度地减少了在级别之间传输的数据量，从而使有效的缩放缩放到任何大小的图像。这将支持：（i）来自显微镜或医疗设备的图像的自动摄入和转换； （ii）一个简单的用户界面和工具来管理数据的本地和远程存储； （iii）选择和导出数据以与现有工作流程集成的工具。该项目与Moran眼中中心，相关的区域和大学病理学家Inc.（ARUP）实验室以及俄勒冈健康与科学大学开发和测试，以获取Giga和Teravoxel图像的原型，并测试其商业价值，以将这项技术从研究发现转化为商业现实。特别是，该项目支持的研究生和本科生将直接参与这些企业家活动。他们将直接与合作机构的技术的早期采用者合作，并获得如何识别和解决其痛点并最终将原始技术转化为具有商业价值的产品的动手经验。