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An Analysis-Synthesis Approach for Neurosphere Modelisation Under Phase-Contrast Microscopy

机译:相对比显微镜下神经圈型型型型型分析合成方法

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The study of stem cells is one of the most important biomedical research. Understanding their development could allow multiple applications in regenerative medicine. For this purpose, automated solutions for the observation of stem cell development process are needed. This study introduces an on-line analysis method for the modelling of neurosphere evolution during the early time of their development under phase contrast microscopy. From the corresponding phase contrast time-lapse sequences, we extract information from the neurosphere using a combination of phase contrast physics deconvolution and curve detection for locate the cells inside the neurosphere. Then, based on prior biological knowledge, we generate possible and optimal 3-dimensional configuration using 2D to 3D registration methods and evolutionary optimisation algorithm.
机译:对干细胞的研究是最重要的生物医学研究之一。了解他们的发展可以在再生医学中允许多种应用。为此目的,需要用于观察干细胞开发过程的自动化解决方案。本研究介绍了在相对造影显微镜下开发的早期内部圈中展开造型的在线分析方法。从相应的相位对比度延迟序列中,我们使用相位对比物理解卷积和曲线检测的组合来提取来自神经圈的信息,以定位神经圈内的细胞。然后,基于先前的生物学知识,我们使用2D到3D登记方法和进化优化算法产生可能和最佳的三维配置。

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