Suppr超能文献

Wetting characterisation on complex surfaces by an automatic open-source tool: DropenVideo.

作者信息

Akbari Raziyeh, Ambrosio Federico, Berry Joseph D, Antonini Carlo

机构信息

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.

出版信息

J Colloid Interface Sci. 2025 Jan 15;678(Pt A):1075-1086. doi: 10.1016/j.jcis.2024.08.159. Epub 2024 Aug 27.

Abstract

HYPOTHESIS

Investigating solid-liquid interactions to determine advancing and receding contact angles, and consequently contact angle hysteresis, is crucial for understanding material wetting properties. A reliable, automated, and possibly open-source tool is desirable, to standardize and automatize the measurement and make it user-independent.

EXPERIMENTS

This study introduces an open-source software, DropenVideo, as an extension of Dropen. DropenVideo automates frame-by-frame video analysis for the advancing and receding contact angle determination, by considering needle presence, contrast tuning, and compensating for missing drop edge data. Contact angles are calculated using convolution mask, circle, and polynomial fittings. An innovative feature in DropenVideo is the automatic protocol for identifying advancing and receding contact angles: (i) the advancing contact angle is determined as the average value during drop inflation; and (ii) the receding contact angle is determined from the frame of incipient motion during drop deflation.

FINDINGS

Exploring the application of DropenVideo across a range of complex surfaces as representative test cases, we highlight existing challenges in interpreting wetting measurements by addressing different wetting scenarios. Our study demonstrates that employing frame-by-frame automatic analysis of contact angle measurement videos using DropenVideo significantly mitigates the potential risks of subjective bias associated with manual interpretation and enhances the precision of identified wetting characteristics.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验