Visual Sensing System to Investigate Self-Propelled Motion and Internal Color of Multiple Aqueous Droplets

This study proposes a visual sensing system to investigate the self-propelled motions of droplets. In the visual sensing of self-propelled droplets, large field-of-view and high-resolution images are both required to investigate the behaviors of multiple droplets as well as chemical reactions in the...

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Published inSensors (Basel, Switzerland) Vol. 22; no. 16; p. 6309
Main Authors Aoyama, Tadayoshi, Yamada, Shoki, Suematsu, Nobuhiko J., Takeuchi, Masaru, Hasegawa, Yasuhisa
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 22.08.2022
MDPI
Subjects
Algorithms
Chemical reactions
Communication
Droplets
Image processing
Labeling
Microorganisms
NMR
Nuclear magnetic resonance
self-propelled droplets
Surfactants
view-expansive microscope
visual sensing system
Japan
Germany
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Summary:This study proposes a visual sensing system to investigate the self-propelled motions of droplets. In the visual sensing of self-propelled droplets, large field-of-view and high-resolution images are both required to investigate the behaviors of multiple droplets as well as chemical reactions in the droplets. Therefore, we developed a view-expansive microscope system using a color camera head to investigate these chemical reactions; in the system, we implemented an image processing algorithm to detect the behaviors of droplets over a large field of view. We conducted motion tracking and color identification experiments on the self-propelled droplets to verify the effectiveness of the proposed system. The experimental results demonstrate that the proposed system is able to detect the location and color of each self-propelled droplet in a large-area image.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s22166309