five

Dropen

收藏
Mendeley Data2021-04-26 更新2026-04-09 收录
下载链接:
https://data.mendeley.com/datasets/wzchzbm58p/1
下载链接
链接失效反馈
官方服务:
资源简介:
Dropen is a fully automatic drop image analysis software in order to study the wetting properties of the solid surfaces. It also includes the manual selection and fitting approaches. This software is developed in MATLAB using GUIDE. Regarding the identification of contact points two approaches are provided in Dropen: 1. Automatic: determines the left and right contact points automatically using a precise image processing code; 2. Manual: let the user to select the left and right contact points manually by pushing the “Manual selection” button. In the case of the wrong selection of contact points the software let the user to try two more times without a need to push the “Manual selection” button again. Regarding the contact angle measurement the software provides fully- automatic convolution mask method and also fitting with the circle and polynomial equations. So, the contact angle measurement panel includes: 1. Mask method: the fully-automatic contact angle measurement, 2. Fitting: includes: a. Circle b. Polynomial : user can change the polynomial order. Regarding our studies the optimum polynomial order for superhydrophilic droplets is two and for the rest of droplets is Three. So, it is recommended to do not change the polynomial order. After choosing the contact point identification and contact angle measurement methods, push the RUN button to find the results in Result panel. In addition the magnified images of the left and right contact areas are presented there. The drop contour line and the contact points have been shown with blue and red markers on the image, respectively. It is possible to save the contact angle data, as well as the left and right contact area images by pushing the corresponding push buttons. This software is developed in SEFILAB at Department of Materials science, University of Milano-Bicocca and is available at the UNIMIB repository (http://dx.doi.org/10.17632/wzchzbm58p.1). This repository will be updated by the new modified versions of the software.
创建时间:
2021-04-26
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作