Zeisel Amit, Yitzhaky Assif, Koerner Cindy, Lauriola Mattia, Cohen-Dvashi Hadas, Köstler Wolfgang J, Yarden Yosef, Wiemann Stefan, Domany Eytan
Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel.
J Biomol Screen. 2013 Mar;18(3):356-60. doi: 10.1177/1087057112461940. Epub 2012 Oct 5.
Collective migration is an important cellular trait, which is intensely studied by both basic and translational researchers. Investigation of the underlying mechanisms necessitates high-throughput assays and computational algorithms capable of generating reproducible quantitative measurements of cell migration. We present a desktop tool that can be used easily by any researcher, to quantify both fluorescent and phase-contrast images produced in the course of commonly used gap closure ("scratch," "wound healing") collective migration assays. The software has a simple graphical interface that allows the user to tune the relevant parameters and process large numbers of images (or movies). The output contains segmented images and the numerical values inferred from them, allowing easy quantitative analysis of the results.
集体迁移是一种重要的细胞特性,基础研究人员和转化研究人员都对其进行了深入研究。对其潜在机制的研究需要高通量检测方法和能够对细胞迁移进行可重复定量测量的计算算法。我们展示了一种桌面工具,任何研究人员都可以轻松使用它来量化在常用的间隙闭合(“划痕”、“伤口愈合”)集体迁移检测过程中产生的荧光图像和相差图像。该软件具有简单的图形界面,允许用户调整相关参数并处理大量图像(或视频)。输出结果包含分割后的图像以及从中推断出的数值,便于对结果进行定量分析。