I-Corps: Optical design and the development of high accuracy automated tick classification using computer vision

I-Corps：使用计算机视觉进行光学设计和高精度自动蜱分类的开发

• 批准号: 10561399
• 负责人: Autumn Goodwin
• 金额: $ 5.5万
• 依托单位: VECTECH, LLC
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-18 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10561399
• 关键词: Area; Classification; Computer Vision Systems; Development; Disease; General Population; Goals; Image; Incidence; Innovation Corps; Monitor; Optics; Phase; Prophylactic treatment; Public Health; Small Business Innovation Research Grant; Spatial Distribution; Standardization; System; Technology; Tick-Borne Diseases; Ticks; United States National Institutes of Health; Vaccines; clinical decision-making; design; disorder prevention; high risk; improved; insight; tick bite; vector control; vector tick

Abstract The incidence of US tick-borne diseases has more than doubled in the last two decades. Due to lack of effective vaccines for tick-borne diseases, prevention of tick bites remains the primary focus of disease mitigation. Tick vector surveillance - monitoring an area to understand tick species composition, abundance, and spatial distribution - is key to providing the public with accurate and up-to-date information when they are in areas of high risk, and enabling precision vector control when necessary. Vectech is an NIH SBIR phase I awardee seeking to develop the first automated imaging and identification system capable of instantaneously and accurately identifying the top nine tick vectors in the US. The approach of standardized optical design and development of a computer vision system offers several advantages over conventional acarologist identification. This NIH I-Corps project seeks to improve understanding of tick surveillance needs in the US. The proposed I-Corps team will focus on the commercial opportunity to improve clinical decision making for administration of tick bite prophylaxis and enhancing public health information for vector control organizations and the general public. The resulting insights will be incorporated into Vectech’s future research with the aim of bringing a commercial product to market.

抽象的 过去二十年来，美国蜱传疾病的发病率增加了一倍多。 蜱传疾病缺乏有效疫苗，预防蜱虫叮咬仍是首要任务 疾病缓解的重点是蜱虫媒介监测 - 监测一个区域以了解蜱虫。 物种组成、丰度和空间分布 - 是为公众提供 当他们处于高风险区域时提供准确和最新的信息，并实现精确性 Vectech 是 NIH SBIR 第一阶段获奖者，致力于开发 第一个能够即时准确地进行自动成像和识别的系统 确定美国排名前九的刻度向量标准化光学设计的方法和 与传统的计算机视觉系统相比，计算机视觉系统的开发具有多种优势 该 NIH I-Corps 项目旨在提高对蜱虫的了解。 拟议的 I-Corps 团队将专注于商业监控需求。 改善蜱虫叮咬预防管理临床决策的机会 加强向病媒控制组织和公众提供公共卫生信息。 由此产生的见解将被纳入 Vectech 未来的研究中，旨在带来 商业产品推向市场。