Automated Analysis of Contact Angle Goniometry Data Using DropPy

13 March 2020, Version 1
This content is a preprint and has not undergone peer review at the time of posting.


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.


Contact angle goniometry
Automated image analysis
Automatic edge detection

Supplementary materials

DropPy ChemRXiv Appendices


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