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公开(公告)号：US09522396B2
公开(公告)日：2016-12-20
申请号：US13338291
申请日：2011-12-28
CPC分类号： B01L3/502715 , B01L2300/0816 , B01L2300/0864 , G01N15/1463 , G01N21/23 , G01N21/5907 , G01N21/6458 , G01N2015/008 , G01N2015/1006 , G01N2015/1465 , G01N2021/5957 , G01N2021/6419 , G01N2021/6421 , G06K2209/05 , G06K2209/07
摘要： The invention discloses an apparatus and method for automatic detection of pathogens within a sample. The apparatus and method are especially useful for high-throughput and/or low-cost detection of parasites with minimal need for trained personnel. The invention entails automated microscopic data acquisition, and performing image processing of images captured from a sample using classification algorithms. Visual classification features of structures are extracted from the image and compared to visual classification features associated with known pathogens. A determination is reached whether a pathogen is present in the sample; and if present, the pathogen may be identified to a pathogen species. Diagnosis is rapid and does not require medically trained personnel.
摘要翻译： 本发明公开了一种用于自动检测样品内的病原体的装置和方法。 该设备和方法对于高通量和/或低成本检测寄生虫特别有用，对训练有素的人员的需求最少。 本发明需要自动化的微观数据采集，并使用分类算法对从样本捕获的图像进行图像处理。 从图像中提取结构的视觉分类特征，并与与已知病原体相关的视觉分类特征进行比较。 确定样品中是否存在病原体; 如果存在，则可以将病原体鉴定为病原体物种。 诊断迅速，不需要经过医学培训的人员。
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公开(公告)号：US20120169863A1
公开(公告)日：2012-07-05
申请号：US13338291
申请日：2011-12-28
IPC分类号： H04N7/18
CPC分类号： B01L3/502715 , B01L2300/0816 , B01L2300/0864 , G01N15/1463 , G01N21/23 , G01N21/5907 , G01N21/6458 , G01N2015/008 , G01N2015/1006 , G01N2015/1465 , G01N2021/5957 , G01N2021/6419 , G01N2021/6421 , G06K2209/05 , G06K2209/07
摘要： The invention discloses an apparatus and method for automatic detection of pathogens within a sample. The apparatus and method are especially useful for high-throughput and/or low-cost detection of parasites with minimal need for trained personnel. The invention entails automated microscopic data acquisition, and performing image processing of images captured from a sample using classification algorithms. Visual classification features of structures are extracted from the image and compared to visual classification features associated with known pathogens. A determination is reached whether a pathogen is present in the sample; and if present, the pathogen may be identified to a pathogen species. Diagnosis is rapid and does not require medically trained personnel.
摘要翻译： 本发明公开了一种用于自动检测样品内的病原体的装置和方法。 该设备和方法对于高通量和/或低成本检测寄生虫特别有用，对训练有素的人员的需求最少。 本发明需要自动化的微观数据采集，并使用分类算法对从样本捕获的图像进行图像处理。 从图像中提取结构的视觉分类特征，并与与已知病原体相关的视觉分类特征进行比较。 确定样品中是否存在病原体; 如果存在，则可以将病原体鉴定为病原体物种。 诊断迅速，不需要经过医学培训的人员。
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