Department of Materials Science, University of Milano-Bicocca, via R. Cozzi 55, 20125 Milano, Italy.
Department of Materials Science, University of Milano-Bicocca, via R. Cozzi 55, 20125 Milano, Italy.
Adv Colloid Interface Sci. 2021 Aug;294:102470. doi: 10.1016/j.cis.2021.102470. Epub 2021 Jun 22.
Contact angle measurement is an effective way to investigate solid surface properties. The introduction of low-cost digital cameras, as well as software and libraries for image analysis, has made contact angle measurement potentially accessible to every laboratory. In this review, we provide a comparison of the main methods developed to evaluate contact angle from digital images, including the so-called Young-Laplace method, the circle and polynomial fittings, as well as the mask method. All methods have been implemented and compared analyzing virtual and real drop images in an open-source software, Dropen, developed as an app in MATLAB environment. The code enables single image analysis evaluation, for the robust automatic identification of the contact points and contact angle evaluation, with the goal of minimizing user inputs, automatizing the process and facilitating measurements for all users, from less experienced to advanced wetting experts. Dropen and its code are made available at BOA, the Bicocca Open Access public repository, for use and further development.
接触角测量是研究固体表面性质的一种有效方法。低成本数码相机的引入，以及用于图像分析的软件和库，使得接触角测量有可能普及到每个实验室。在这篇综述中，我们比较了从数字图像中评估接触角的主要方法，包括所谓的 Young-Laplace 方法、圆和多项式拟合以及掩模方法。所有方法都已经在一个名为 Dropen 的开源软件中实现并进行了比较分析，该软件是在 MATLAB 环境中开发的一个应用程序。该代码支持单图像分析评估，用于稳健自动识别接触点和接触角评估，旨在尽量减少用户输入，自动化处理过程，并方便所有用户进行测量，无论是经验较少的还是高级润湿专家。Dropen 及其代码可在 BOA（Bicocca Open Access 公共存储库）上获取，以供使用和进一步开发。
