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3D spherical-cap fitting procedure for (truncated) sessile nano- and micro-droplets

Overview of attention for article published in European Physical Journal E -- Soft Matter, November 2016
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Title
3D spherical-cap fitting procedure for (truncated) sessile nano- and micro-droplets & -bubbles
Published in
European Physical Journal E -- Soft Matter, November 2016
DOI 10.1140/epje/i2016-16106-6
Pubmed ID
Authors

Huanshu Tan, Shuhua Peng, Chao Sun, Xuehua Zhang, Detlef Lohse

Abstract

In the study of nanobubbles, nanodroplets or nanolenses immobilised on a substrate, a cross-section of a spherical cap is widely applied to extract geometrical information from atomic force microscopy (AFM) topographic images. In this paper, we have developed a comprehensive 3D spherical-cap fitting procedure (3D-SCFP) to extract morphologic characteristics of complete or truncated spherical caps from AFM images. Our procedure integrates several advanced digital image analysis techniques to construct a 3D spherical-cap model, from which the geometrical parameters of the nanostructures are extracted automatically by a simple algorithm. The procedure takes into account all valid data points in the construction of the 3D spherical-cap model to achieve high fidelity in morphology analysis. We compare our 3D fitting procedure with the commonly used 2D cross-sectional profile fitting method to determine the contact angle of a complete spherical cap and a truncated spherical cap. The results from 3D-SCFP are consistent and accurate, while 2D fitting is unavoidably arbitrary in the selection of the cross-section and has a much lower number of data points on which the fitting can be based, which in addition is biased to the top of the spherical cap. We expect that the developed 3D spherical-cap fitting procedure will find many applications in imaging analysis.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 40%
Student > Master 3 20%
Researcher 2 13%
Professor > Associate Professor 2 13%
Unspecified 2 13%
Other 0 0%
Readers by discipline Count As %
Engineering 5 33%
Physics and Astronomy 3 20%
Unspecified 3 20%
Chemistry 2 13%
Materials Science 1 7%
Other 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 June 2017.
All research outputs
#10,051,355
of 11,332,694 outputs
Outputs from European Physical Journal E -- Soft Matter
#319
of 342 outputs
Outputs of similar age
#218,354
of 257,549 outputs
Outputs of similar age from European Physical Journal E -- Soft Matter
#11
of 11 outputs
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So far Altmetric has tracked 342 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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