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Automated Analysis of Contact Angle Goniometry Data Using DropPy

preprint
submitted on 12.03.2020, 21:44 and posted on 13.03.2020, 12:42 by Michael Orella, McLain Leonard, Yuriy Román-Leshkov, Fikile Brushett

Despite advances in contact angle data collection and analysis, the opacity inherent to automated options forces most non-expert researchers to rely on manual techniques and limit assessment of available data. In tandem, with the emergence of inexpensive and powerful hardware in increasingly small form-factors, the development of robust and versatile software packages would enable interrogation of wetting phenomena across a range of platforms. Here, we introduce DropPy, an open-source Python implementation of the classic axisymmetric drop shape analysis technique to fit droplet profiles from images automatically while providing an easy interface through which casual users may interpret their findings.

History

Email Address of Submitting Author

morella@mit.edu

Institution

MIT

Country

USA

ORCID For Submitting Author

0000-0003-1207-4704

Declaration of Conflict of Interest

No conflict of interest

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