ArticleLangmuir : the ACS journal of surfaces and colloids2023
Deep Learning to Analyze Sliding Drops.
Article in Langmuir : the ACS journal of surfaces and colloids, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Water Drops Sliding Over Arrays of Janus Micropillars With Hydrophilic Tops: A New Mechanism of Drop Charging.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Salt Water Drops Slide Faster: Ionic Modulation of Drop Friction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Surfactants Screen Slide Electrification.Angewandte Chemie (International ed. in English) · 2025Article
- Furmidge Equation Revisited.Langmuir : the ACS journal of surfaces and colloids · 2025Article
- Estimating sliding drop width via side-view features using recurrent neural networks.Scientific reports · 2024Article
- Control of spontaneous charging of sliding water drops by plasma-surface treatment.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
State-of-the-art contact angle measurements usually involve image analysis of sessile drops. The drops are symmetric and images can be taken at high resolution. The analysis of videos of drops sliding down a tilted plate is hampered due to the low resolution of the cutout area where the drop is visible. The challenge is to analyze all video images automatically, while the drops are not symmetric anymore and contact angles change while sliding down the tilted plate. To increase the accuracy of contact angles, we present a 4-segment super-resolution optimized-fitting (4S-SROF) method. We developed a deep learning-based super-resolution model with an upscale ratio of 3; i.e., the trained model is able to enlarge drop images 9 times accurately (PSNR = 36.39). In addition, a systematic experiment using synthetic images was conducted to determine the best parameters for polynomial fitting of contact angles. Our method improved the accuracy by 21% for contact angles lower than 90° and by 33% for contact angles higher than 90°.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.