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表征活细胞行为:传统的无标记定量相成像方法。

Characterising live cell behaviour: Traditional label-free and quantitative phase imaging approaches.

作者信息

Kasprowicz Richard, Suman Rakesh, O'Toole Peter

机构信息

Phasefocus Ltd, Sheffield, UK; Technology Facility, University of York, UK.

Phasefocus Ltd, Sheffield, UK; Technology Facility, University of York, UK.

出版信息

Int J Biochem Cell Biol. 2017 Mar;84:89-95. doi: 10.1016/j.biocel.2017.01.004. Epub 2017 Jan 20.

Abstract

Label-free imaging uses inherent contrast mechanisms within cells to create image contrast without introducing dyes/labels, which may confound results. Quantitative phase imaging is label-free and offers higher content and contrast compared to traditional techniques. High-contrast images facilitate generation of individual cell metrics via more robust segmentation and tracking, enabling formation of a label-free dynamic phenotype describing cell-to-cell heterogeneity and temporal changes. Compared to population-level averages, individual cell-level dynamic phenotypes have greater power to differentiate between cellular responses to treatments, which has clinical relevance e.g. in the treatment of cancer. Furthermore, as the data is obtained label-free, the same cells can be used for further assays or expansion, of potential benefit for the fields of regenerative and personalised medicine.

摘要

无标记成像利用细胞内固有的对比度机制来创建图像对比度,而无需引入可能混淆结果的染料/标记物。与传统技术相比,定量相成像无标记且提供更高的含量和对比度。高对比度图像通过更稳健的分割和跟踪有助于生成单个细胞指标,从而能够形成描述细胞间异质性和时间变化的无标记动态表型。与群体水平的平均值相比,单个细胞水平的动态表型在区分细胞对治疗的反应方面具有更大的能力,这在例如癌症治疗中具有临床相关性。此外,由于数据是无标记获得的,相同的细胞可用于进一步的检测或扩增,这对再生医学和个性化医学领域可能有益。

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