Image-based cell/colony analyses offer promising solutions to compensate for the lack of quality control (QC) tools for noninvasive monitoring of cultured cells, a regulatory challenge in regenerative medicine. Here, the feasibility of two image analysis algorithms, optical flow and normalised cross-correlation, to noninvasively measure cell/colony motion in human primary oral keratinocytes for screening the proliferative capacity of cells in the early phases of cell culture were examined. We applied our software to movies converted from 96 consecutive time-lapse phase-contrast images of an oral keratinocyte culture. After segmenting the growing colonies, two indices were calculated based on each algorithm. The correlation between each index of the colonies and their proliferative capacity was evaluated. The software was able to assess cell/colony motion noninvasively, and each index reflected the observed cell kinetics. A positive linear correlation was found between cell/colony motion and proliferative capacity, indicating that both algorithms are potential tools for QC.

中文翻译：

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使用图像分析方法评估口腔角质形成细胞的增殖能力，以此作为再生医学质量控制的工具，对细胞/集落运动进行无创测量。

基于图像的细胞/菌落分析提供了有前途的解决方案，以弥补缺乏对培养细胞进行无创监测的质量控制（QC）工具的不足，这是再生医学的一项监管挑战。在这里，检查了两种图像分析算法（光流和归一化互相关）在无创测量人原代口腔角质形成细胞中细胞/集落运动以筛选细胞培养早期细胞增殖能力的可行性。我们将我们的软件应用到从口腔角质形成细胞培养的96个连续时移相位对比图像转换的电影中。分割生长的菌落后，基于每种算法计算两个指标。评估菌落的每个指标与其增殖能力之间的相关性。该软件能够无创地评估细胞/集落运动，并且每个指标都反映了观察到的细胞动力学。在细胞/菌落运动与增殖能力之间发现线性正相关，表明这两种算法都是进行QC的潜在工具。