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使用 ImageJ 快速定量细胞增殖和迁移。

Rapid quantification of cellular proliferation and migration using ImageJ.

机构信息

Discipline of Biochemistry, School of Life Sciences, University of KwaZulu-Natal, Private Bag X01, Scottsville 3209, South Africa.

出版信息

Biotechniques. 2019 Feb;66(2):99-102. doi: 10.2144/btn-2018-0132.

Abstract

Cellular proliferation and migration are crucial during development, regeneration and disease. Methods to quantify these processes are available; however, many are time consuming and require specialized equipment and costly reagents. Simple cell counts (proliferation analysis) and the scratch assay (migration analysis) are favorable methods due to their simplicity and cost-effectiveness; however, they rely on subjective and labor-intensive manual analysis, resulting in low throughput. We have developed optimized protocols to rapidly and accurately quantify adherent cell number and wound area using ImageJ, an open-source image processing program. Notably, these adaptable protocols facilitate quantification with significantly greater accuracy than manual identification.

摘要

细胞增殖和迁移在发育、再生和疾病过程中至关重要。有许多方法可用于定量这些过程;然而,许多方法耗时且需要专门的设备和昂贵的试剂。由于其简单性和成本效益,简单的细胞计数(增殖分析)和划痕实验(迁移分析)是有利的方法;然而,它们依赖于主观和劳动密集型的手动分析,导致通量低。我们已经开发了优化的方案,使用开源图像处理程序 ImageJ 快速准确地定量贴壁细胞数量和伤口面积。值得注意的是,这些适应性强的方案比手动识别更能准确地进行定量。

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