Department of Chemical and Life Sciences Engineering, Virginia Commonwealth University, Richmond, VA, United States.
Department of Forensic Science, Virginia Commonwealth University, Richmond, VA, United States.
Forensic Sci Int. 2020 Jul;312:110300. doi: 10.1016/j.forsciint.2020.110300. Epub 2020 Apr 24.
This paper presents a strategy for an unsupervised workflow for identifying epithelial cells in microscopic images and characterizing their morphological and/or optical properties. The proposed method can be used on cells that have been stained with fluorescent dyes and imaged using conventional optical microscopes. The workflow was tested on cell populations that were imaged directly on touch/contact surfaces and stained with nucleic acid dyes to visualize genetic content. Our results show that this approach could be a useful strategy for characterizing differences in staining efficiency and/or morphological properties of individual cells or aggregate populations within a biological sample. Further, they can potentially reduce the laborious nature of microscopic analysis and increase throughput and reproducibility of similar studies.
本文提出了一种用于在微观图像中识别上皮细胞并描述其形态和/或光学特性的无监督工作流程的策略。该方法可用于已用荧光染料染色并使用传统光学显微镜成像的细胞。该工作流程已在直接在接触/接触表面成像并用核酸染料染色以可视化遗传物质的细胞群体上进行了测试。我们的结果表明，这种方法可能是一种有用的策略，可以用于描述生物样本中单个细胞或聚集群体的染色效率和/或形态特性的差异。此外，它们有可能降低显微镜分析的繁琐性，并提高类似研究的通量和可重复性。
