Automated Measurement of Cobblestone Morphology for Characterizing Stem Cell Derived Retinal Pigment Epithelial Cell Cultures
Automated Measurement of Cobblestone Morphology for Characterizing Stem Cell Derived Retinal Pigment Epithelial Cell Cultures
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DOI：
10.1089/jop.2015.0163
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发表时间：
2016-06-01
影响因子：
2.3
通讯作者：
Cohen, Andrew R.
中科院分区：
文献类型：
--
作者：
Joshi, Rohini;Mankowski, Walter;Cohen, Andrew R.
目的：评估显微镜图像中细胞的形态特性是评估细胞健康、身份和纯度的一项重要任务。通常，主观视觉评估是由经验丰富的研究人员完成的。这种主观的人为步骤使得将评估过程从实验室转移到细胞制造设施变得困难且耗时。方法：自动图像分析可以提供培养细胞的快速、客观测量，极大地帮助制造、监管和研究目标。基于外观特征对图像进行分类的自动算法通常从图像中提取特征并使用这些特征进行分类，或者直接使用图像作为分类算法的输入。在这项研究中，我们开发了特征和非特征提取方法，用于自动测量人视网膜色素上皮 (RPE) 细胞培养物中的“鹅卵石”结构。结果：一种使用图像压缩与基于 Kolmogorov 复杂性的距离度量相结合的新方法，可以对 RPE 细胞培养物的显微图像进行稳健分类。自动测量证实了经验丰富的细胞生物学家所做的测定。我们还开发了一种使用可操纵小波滤波器提取特征来表征单个细胞的方法。结论：两种图像分析技术能够对鹅卵石形态进行稳健而准确的表征，这表明用于治疗应用的可行 RPE 培养物。
Purpose: Assessing the morphologic properties of cells in microscopy images is an important task to evaluate cell health, identity, and purity. Typically, subjective visual assessments are accomplished by an experienced researcher. This subjective human step makes transfer of the evaluation process from the laboratory to the cell manufacturing facility difficult and time consuming.Methods: Automated image analysis can provide rapid, objective measurements of cultured cells, greatly aiding manufacturing, regulatory, and research goals. Automated algorithms for classifying images based on appearance characteristics typically either extract features from the image and use those features for classification or use the images directly as input to the classification algorithm. In this study we have developed both feature and nonfeature extraction methods for automatically measuring "cobblestone'' structure in human retinal pigment epithelial (RPE) cell cultures.Results: A new approach using image compression combined with a Kolmogorov complexity-based distance metric enables robust classification of microscopy images of RPE cell cultures. The automated measurements corroborate determinations made by experienced cell biologists. We have also developed an approach for using steerable wavelet filters for extracting features to characterize the individual cellular junctions.Conclusions: Two image analysis techniques enable robust and accurate characterization of the cobblestone morphology that is indicative of viable RPE cultures for therapeutic applications.