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An Automated Assay for the Evaluation of Mortality in Fish Embryo

机译:自动评估鱼胚胎死亡率的方法

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Fish embryo models are used increasingly for human disease modeling, chemical toxicology screening, drug discovery and environmental toxicology studies. These studies are devoted to the analysis of a wide spectrum of physiological parameters, such as mortality ratio. In this article, we develop an assay to determine Medaka (Oryzias latipes) embryo mortality. Based on video sequences, our purpose is to obtain reliable, repeatable results in a fully automated fashion. To reach that challenging goal, we develop an efficient morphological pipeline that analyses image sequences in a multiscale paradigm, from the global scene to the embryo, and then to its heart, finally analysing its putative motion, characterized by intensity variations. Our pipeline, based on robust morphological operators, has a low computational cost, and was experimentally assessed on a dataset consisting of 660 images, providing a success ratio higher than 99%.
机译:鱼胚模型越来越多地用于人类疾病建模,化学毒理学筛查,药物发现和环境毒理学研究。这些研究致力于分析各种生理参数,例如死亡率。在本文中,我们开发了一种测定Medaka(Oryzias latipes)胚胎死亡率的方法。基于视频序列,我们的目的是以完全自动化的方式获得可靠,可重复的结果。为了实现这一具有挑战性的目标,我们开发了一种有效的形态学流水线,该流水线以多尺度范式分析了图像序列,从全局场景到胚胎,再到其心脏,最后分析了以强度变化为特征的推定运动。我们的管道基于强大的形态运算符,具有较低的计算成本,并且在包含660张图像的数据集上进行了实验评估,成功率高于99%。

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