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Cleavage-stage embryo rotation tracking and automated micropipette control: Towards automated single cell manipulation

机译:切割阶段胚胎旋转跟踪和自动微量移植电机:朝向自动化单电池操作

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Micromanipulation of individual biological cells, such as embryos during preimplantation genetic diagnosis (PGD), is a delicate and time-consuming task. Two major procedures in PGD include the rotation of the embryo to gain a more favorable position for zona breaching, and the extraction of a blastomere after an opening has been made in the zona pellucida. Rotation tracking of cleavage-stage embryos has not been reported given their lack of distinctive features. In this manuscript, a geometric model for partially determining the three dimensional (3-D) angular position of 2-cell embryos using two dimensional (2-D) microscopic brightfield images was derived and verified using a computer generated model. This model was then applied using computer vision algorithms on a rotating cleavage-stage mouse embryo, demonstrating partial 3-D rotation tracking. Furthermore, embryo micromanipulation tasks are typically performed manually using micropipettes. Technological advances have made automation of these tasks possible. This manuscript also presents computer vision algorithms for the segmentation and calibration of micropipettes. The calibration procedure allowed automated position control of the micropipettes without the need for real-time vision feedback using micropipette recognition algorithms, and effective position control was verified using semi-automated blastomere extraction experiments. This manuscript presents preliminary work towards the automation of cell manipulation procedures.
机译:个人生物细胞的微观管理,例如胚胎在预溶解遗传诊断(PGD)期间,是一种微妙且耗时的任务。 PGD​​中的两种主要方法包括胚胎的旋转,以获得更有利的Zona突发地位,并且在Zona Pellucida中进行了开口后的卵泡的提取。缺乏独特的特征,尚未报告切割阶段胚胎的旋转跟踪。在该稿件中,使用计算机生成的模型导出和验证用于部分地确定使用二维微观壁图像的三维(3-D)2-小区胚胎的三维(3-D)角位置的几何模型。然后在旋转切割阶段小鼠胚胎上使用计算机视觉算法施加该模型,证明了部分3-D旋转跟踪。此外,通常使用微量化合物手动进行胚胎微操纵任务。技术进步使这些任务的自动化成为可能。该稿件还为微型素体的分割和校准提供了计算机视觉算法。校准过程允许使用微移液识别算法的实时视觉反馈的微量移植器的自动定位控制,并且使用半自动斑点提取实验验证有效位置控制。该手稿旨在朝着细胞操纵程序的自动化提供初步努力。

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