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Microplate luminescence automated digital analyzer for medicinal plants evaluation on quorum sensing inhibition

机译:微孔板发光自动数字分析仪用于药用植物对群体感应抑制的评估

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Quorum sensing is a mechanism used by most of pathogenic bacteria to coordinate their gene expression. Through this kind of mechanism the bacteria could detect the density of their local population until at a certain level they will act together to emerge virulence which cause disease in their host organism. Thus, the inhibition ability to quorum sensing mechanism is commonly used as an indicator to evaluate the potentiality of extracts from plants as antibacterial in drugs development. The quorum sensing activity could be detected using luminescence method. When the colony of bacteria reach the quorum and express certain activity, the luminescence will be produced. Microplate is a kind of experiment media which is used to conduct such experiment. The luminescence as the experiment result were captured as a digital image. The luminescence then examined to determine the plant performance to inhibit the bacteria virulence activity. Regarding most of the researcher's experience, it is believed that manual evaluation of those luminescence images is hard to interpret due to subjectivity factor and also inefficiency in time, especially when working with a large number of experiments. Therefore, in this research we developed a computer application to run quantification of the luminescence automatically. The automation process begin with gridding algorithm followed by object recognition and segmentation algorithm based on neural network learning. In order to improve the accuracy, image enhancement module were also attached to the system. In the output section, the quantification report presented using some statistical parameter to simplify interpretation and facilitate the researcher to run additional data analysis. With this application, the potentiality of extracts from plants as antibacterial agent could be inferred quickly, easily and accurately.
机译:群体感应是大多数病原细菌用来协调其基因表达的机制。通过这种机制,细菌可以检测出其本地种群的密度,直到在一定水平上它们将共同发挥作用以产生致病力,从而在其宿主生物体中引起疾病​​。因此,群体感应机制的抑制能力通常用作评估植物提取物在药物开发中作为抗菌剂的潜力的指标。群体感应活动可以使用发光方法检测。当细菌菌落到达群体并表达某些活性时,将产生发光。微孔板是一种用于进行此类实验的实验介质。作为实验结果的发光被捕获为数字图像。然后检查发光以确定植物抑制细菌毒力活性的性能。对于大多数研究人员的经验,人们认为,由于主观因素以及时间效率低下,尤其是在进行大量实验时,这些发光图像的人工评估很难解释。因此,在这项研究中,我们开发了一种计算机应用程序来自动进行发光定量。自动化过程从网格化算法开始,然后是基于神经网络学习的目标识别和分割算法。为了提高准确性,系统还附加了图像增强模块。在输出部分,使用一些统计参数显示了量化报告,以简化解释并方便研究人员进行其他数据分析。通过该应用,可以快速,轻松,准确地推断出植物提取物作为抗菌剂的潜力。

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