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首页> 外文期刊>International journal of biomedical imaging >Image Processing Techniques for Assessing Contractility in Isolated Neonatal Cardiac Myocytes
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Image Processing Techniques for Assessing Contractility in Isolated Neonatal Cardiac Myocytes

机译:评估孤立的新生儿心肌细胞收缩力的图像处理技术

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We describe a computational framework for the quantitative assessment of contractile responses of isolated neonatal cardiac myocytes. To the best of our knowledge, this is the first report on a practical and accessible method for the assessment of contractility in neonatal cardiocytes. The proposed methodology is comprised of digital video recording of the contracting cell, signal preparation, representation by polar Fourier descriptors, and contractility assessment. The different processing stages are variants of mathematically sound and computationally robust algorithms very well established in the scientific community. The described computational approach provides a comprehensive assessment of the neonatal cardiac myocyte contraction without the need of elaborate instrumentation. The versatility of the methodology allows it to be employed in determining myocyte contractility almost simultaneously with the acquisition of the Ca~(2+) transient and other correlates of cell contraction. The proposed methodology can be utilized to evaluate changes in contractile behavior resulting from drug intervention, disease models, transgeneity, or other common applications of neonatal cardiocytes.
机译:我们描述了一个计算框架,用于定量评估孤立的新生儿心肌细胞的收缩反应。据我们所知,这是关于评估新生儿心肌细胞收缩力的一种实用且可访问的方法的首份报告。所提出的方法包括收缩细胞的数字视频记录,信号准备,极性傅立叶描述符表示以及收缩性评估。不同的处理阶段是科学界非常完善的数学上可靠且计算稳定的算法的变体。所描述的计算方法无需复杂的仪器即可对新生儿心肌细胞收缩进行全面评估。该方法的多功能性使其几乎可以在确定Ca〜(2+)瞬变和细胞收缩的其他相关因素的同时,用于确定心肌细胞的收缩能力。所提出的方法可以用于评估由药物干预,疾病模型,转基因或新生儿心肌细胞的其他常见应用导致的收缩行为变化。

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