I-Corps: Optical design and the development of high accuracy automated tick classification using computer vision
I-Corps: Optical design and the development of high accuracy automated tick classification using computer vision
批准号:
10561399
负责人:
Autumn Goodwin
金额:
$5.5万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-04-18 至 2022-06-30
关键词:
AreaClassificationComputer Vision SystemsDevelopmentDiseaseGeneral PopulationGoalsImageIncidenceInnovation CorpsMonitorOpticsPhaseProphylactic treatmentPublic HealthSmall Business Innovation Research GrantSpatial DistributionStandardizationSystemTechnologyTick-Borne DiseasesTicksUnited States National Institutes of HealthVaccinesclinical decision-makingdesigndisorder preventionhigh riskimprovedinsighttick bitevector controlvector tick
中文摘要
摘要
在过去的二十年里,美国蜱传疾病的发病率增加了一倍多。由于
由于缺乏有效的蜱传疾病疫苗,预防蜱叮咬仍然是主要的
减轻疾病的重点。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-是向公众提供
在高风险地区提供准确和最新的信息,
必要时进行病媒控制。Vectech是NIH SBIR第一阶段获奖者,寻求开发
第一个自动成像和识别系统,
找出美国排名前九的蜱虫媒介介绍了标准化光学设计方法,
计算机视觉系统的发展提供了几个优于传统视觉系统的优点。
螨学鉴定这个NIH I-Corps项目旨在提高对蜱虫的理解
美国的监控需求。拟议中的I-Corps团队将专注于商业
有机会改善蜱叮咬预防管理的临床决策,
加强向病媒控制组织和公众提供的公共卫生信息。的
由此产生的见解将被纳入Vectech的未来研究,目的是带来一个
商业产品推向市场。
英文摘要
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.
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专著(0)
科研奖励(0)
会议论文
High accuracy automated tick classification using computer vision
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批准号:10699845
-
项目类别:
-
资助金额:$95.04万
-
财政年份:2022
-
负责人:Autumn Goodwin
-
依托单位:
Optical design and the development of high accuracy automated tick classification using computer vision
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批准号:10325667
-
项目类别:
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资助金额:$29.57万
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财政年份:2021
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负责人:Autumn Goodwin
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依托单位:
海外基金