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DEVICE AND METHOD FOR MOTILITY-BASED LABEL-FREE DETECTION OF MOTILE OBJECTS IN A FLUID SAMPLE

机译:基于运动的可动力学的无动机物体的无动机的装置和方法

摘要

Systems and methods for detecting motile objects (e.g., parasites) in a fluid sample by utilizing the locomotion of the parasites as a specific biomarker and endogenous contrast mechanism. The imaging platform includes one or more substantially optically transparent sample holders. The imaging platform has a moveable scanning head containing light sources and corresponding image sensor(s) associated with the light source(s). The light source(s) are directed at a respective sample holder containing a sample and the respective image sensor(s) are positioned below a respective sample holder to capture time-varying holographic speckle patterns of the sample contained in the sample holder. The image sensor(s). A computing device is configured to receive time-varying holographic speckle pattern image sequences obtained by the image sensor(s). The computing device generates a 3D contrast map of motile objects within the sample use deep learning-based classifier software to identify the motile objects.
机译:通过利用寄生虫作为特异性生物标志物和内源对比机制来检测流体样品中的运动物体(例如,寄生虫)的系统和方法。成像平台包括一个或多个基本上光学透明的样品支架。成像平台具有包含光源的可移动扫描头和与光源相关联的相应图像传感器。光源指向包含样品的相应样品支架,并且各个图像传感器位于相应的样品支架下方,以捕获样品支架中包含的样品的时变全息斑点图案。图像传感器。计算设备被配置为接收由图像传感器获得的时变的全息斑点图案图像序列。计算设备生成样本内的动机对象的3D对比度图,使用基于深度学习的分类器软件来标识动机对象。

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