Issue |
EPJ Web Conf.
Volume 266, 2022
EOS Annual Meeting (EOSAM 2022)
|
|
---|---|---|
Article Number | 12001 | |
Number of page(s) | 2 | |
Section | Topical Meeting (TOM) 12- Optofluidics | |
DOI | https://doi.org/10.1051/epjconf/202226612001 | |
Published online | 13 October 2022 |
https://doi.org/10.1051/epjconf/202226612001
Imprinting characteristics of droplet lenses on liquid-repelling surfaces into light
1 Institute of Applied Physics, University of Muenster, Corrensstr. 2/4, 48149 Muenster, Germany
2 Geballe Laboratory for Advance Materials, Stanford University, 476 Lomita Mall, Stanford, CA 94305, USA
3 Center for Soft Nanoscience, University of Muenster, Busso-Peus-Str. 10, 48149 Muenster, Germany
4 Department of Engineering Physics, Muenster University of Applied Sciences, Stegerwaldstraße 39, 48565 Steinfurt, Germany
* e-mail: v.bobkova@uni-muenster.de
Published online: 13 October 2022
We propose an experimental method that allows the investigation of droplets on liquid-repelling surfaces. The described technique goes beyond the standard imaging approaches and reveals a plethora of spatial droplet information, which is usually unavailable. Liquid droplet lenses shape the transmitted light field of a Gaussian laser beam passing though them, thereby forming refracted three-dimensional (3D) light landscapes. We investigate numerically and experimentally these 3D landscapes which are customized depending on the droplet shape as well as its refractive index, and demonstrate the encoding of droplet information. This approach can also be applied for analyzing droplets showing high-speed dynamics, in order to reveal even minimal shape deviations. The developed technique complements and therefor extend the existing conventional tools for the investigation of the droplets formed on liquid-repelling surfaces.
© The Authors, published by EDP Sciences
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