The need for technologies to monitor cell health is increasing with advancements in the field of cell therapy and regenerative medicine. In this study, we demonstrated unlabeled optical metabolic imaging of cultured living cells. This imaging technique is based on motion vector analysis with a block-matching algorithm to compare sequential time-lapse images. Motion vector analysis evaluates the movement of intracellular granules observed with a phase-contrast microscope. We demonstrated that the motion speed of intracellular movement reflects adenosine triphosphate (ATP)-dependent intracellular trafficking in cells. We also confirmed that intracellular motion speed is correlated with the ATP concentrations of the cells. This assay can measure cellular viability at a single-cell level without requiring any reagents.

中文翻译：

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基于未标记图像分析的细胞活力检测，并带有细胞内运动监测。

随着细胞疗法和再生医学领域的进步，对监测细胞健康的技术的需求也在增加。在这项研究中，我们证明了培养的活细胞的未标记光学代谢成像。该成像技术基于运动矢量分析和块匹配算法，以比较顺序的延时图像。运动矢量分析评估用相差显微镜观察到的细胞内颗粒的运动。我们证明了细胞内运动的运动速度反映了细胞中三磷酸腺苷（ATP）依赖性细胞内运输。我们还证实细胞内运动速度与细胞的ATP浓度相关。该测定法可以在不需要任何试剂的情况下在单细胞水平上测量细胞活力。