SBIR Phase I: AI robotic archival and retrieval system

SBIR第一期：人工智能机器人归档和检索系统

• 批准号: 2013964
• 负责人: Barb Yellowlees
• 金额: $ 22.5万
• 依托单位: ROBOPATH LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-15 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2013964&HistoricalAwards=false
• 关键词: SBIR; Phase; AI; robotic; archival

The broader impact/commercial potential of this Small Business Research (SBIR) Phase I project will be to develop a robotic technology with artificial intelligence (AI) to improve the practice of pathology. Pathology laboratories generate 414 million slides and 200 million tissue blocks annually, representing a market of $5.2 B. Those samples are legally required to be archived 10 years. Recent innovations have focused on improvements in specimen collection, automation of sample processing, reporting and transmission of pathology information to medical records, but currently manual storage of pathology specimens is prone to errors and inefficiencies. The proposed technology will advance a robotic system to automate the storage and retrieval process of pathology slides and tissue blocks, enabling faster, more accurate access to important biological specimens. This Small Business Innovation Research Phase I project will develop a robotic mechanism to pick glass slides from slide trays and transport them to archival cabinets for storage aligned with a digital library. The solution will have an interface that integrates the robotic archival system with automated software and digital imaging systems for microscopic slides. The archival and retrieval system has a robotic motor attached to a conveyor to rotate through the slides and a software component with two elements; the Graphical User Interface (GUI) and the underlying architecture. The project has three goals: 1) A prototype robotic system design; 2) User interface development and deployment strategy; and 3) Simulation of integrated hardware/ software system.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项小企业研究（SBIR）第一阶段项目的更广泛影响/商业潜力将是开发一种具有人工智能（AI）的机器人技术，以改善病理学实践。病理学实验室每年产生4.14亿张切片和2亿个组织块，代表着52亿美元的市场，这些样本被法律要求保存10年。最近的创新主要集中在标本采集、标本处理自动化、病理信息报告和传输到医疗记录方面的改进，但目前病理标本的人工存储容易出错和效率低下。提出的技术将推进机器人系统，使病理切片和组织块的存储和检索过程自动化，从而更快，更准确地访问重要的生物标本。这个小企业创新研究第一阶段项目将开发一种机器人机制，从载玻片托盘中挑选载玻片，并将它们运送到与数字图书馆对齐的档案柜中。该解决方案将有一个接口，将机器人档案系统与显微载玻片的自动化软件和数字成像系统集成在一起。所述档案和检索系统具有附着在传送带上使其通过滑片旋转的机器人电机和具有两个元件的软件组件；图形用户界面（GUI）和底层架构。该项目有三个目标：1)机器人系统原型设计；2)用户界面开发与部署策略；3)软硬件集成系统仿真。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。