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首页> 外文会议>Conference on Resign and Quality for Biomedical Technologies; 20080121; San Jose,CA(US) >Development and optimization of two-dimensional centering algorithm for bacterial rapid detection system using forward scattering
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Development and optimization of two-dimensional centering algorithm for bacterial rapid detection system using forward scattering

机译：基于前向散射的细菌快速检测系统二维定心算法的开发与优化

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Time needed for detection and identification of bacteria can be much shortened using the unique light-scattering pattern after being exposed to the laser source from the new platform named BARDOT (Bacteria Rapid Detection using Optical scattering Technology). The resulting pattern is compared to the compiled pattern library to search for similarity, hence determine the types of bacteria. The system consists of a laser source, an imaging camera, a scattering camera, and a two-dimensional stage. First the imaging camera captures the image of the sample on Petri-dish and locates the center coordinate locations of each cluster. Then the two-dimensional stage translates the Petri-dish such that the incident laser beam is upon the individual sample cluster and performs a centering process which is an fine-adjustment to capture a concentric scattering pattern. The displacement of the platform during this process is determined from the difference of the centroid of the laser beam without sample and that of scattered laser beam with sample. Using MATLAB to design and test the centering algorithm, the time taken for the centering algorithm can be minimized by generating a linear relationship between the lateral distance of the sample movement and the difference of the centroid. The initial algorithm utilized the non-linear relationship without any compensation of the difference of the centroid value. Thus it took multiple steps of motions to reach the center location if the difference of colony center to the laser center is larger than the radius of the sample cluster. With the help of newly designed algorithm, a linear relationship is achieved via identifying the specific location of the starting point of centering algorithm and compensating the corresponding centroid difference to match the actual displacement. Therefore the total time needed to satisfy the centeredness of the scattering pattern is minimized.
机译：在从名为BARDOT（使用光散射技术的细菌快速检测）的新平台暴露于激光源后，使用独特的光散射图案可以大大缩短细菌检测和鉴定所需的时间。将生成的模式与已编译的模式库进行比较以搜索相似性，从而确定细菌的类型。该系统由一个激光源，一个成像相机，一个散射相机和一个二维平台组成。首先，成像相机在培养皿上捕获样本图像，并找到每个簇的中心坐标位置。然后，二维平台平移培养皿，以使入射激光束照射到单个样品簇上，并执行对中过程，该过程是微调以捕获同心散射图案。在此过程中，平台的位移由没有样品的激光束的质心与带有样品的散射激光束的质心之差确定。使用MATLAB设计和测试对中算法，可以通过在样本移动的横向距离和质心差之间生成线性关系来最小化对中算法所需的时间。初始算法利用了非线性关系，而没有任何质心值差异的补偿。因此，如果菌落中心与激光中心的差大于样本簇的半径，则需要花费多个步骤才能到达中心位置。借助新设计的算法，可以通过确定对中算法起点的特定位置并补偿相应的质心差以匹配实际位移来实现线性关系。因此，满足散射图案的中心度所需的总时间被最小化。

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