J. Hirvonen, Yuli Lai, P. Kallio, Gisela Cunha, Orlando Rojas
{"title":"Automated estimation of contact angle on hydrophobic fibers using a microrobotic platform","authors":"J. Hirvonen, Yuli Lai, P. Kallio, Gisela Cunha, Orlando Rojas","doi":"10.1109/3M-NANO.2016.7824935","DOIUrl":null,"url":null,"abstract":"This paper presents an automated computer vision algorithm for estimating contact angles that a droplet of probe liquid forms on hydrophobic fibers. A specially designed microrobotic platform is utilized in manipulating the microscopic fibers, shooting droplets in the scale of tens of nanoliters on the fibers and capturing images of the experiments. The images are then processed with the automated computer vision algorithm. The algorithm is proven to be reliable and repeatable with totally 29 experiments on five different bio-based fiber samples.","PeriodicalId":273846,"journal":{"name":"2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3M-NANO.2016.7824935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents an automated computer vision algorithm for estimating contact angles that a droplet of probe liquid forms on hydrophobic fibers. A specially designed microrobotic platform is utilized in manipulating the microscopic fibers, shooting droplets in the scale of tens of nanoliters on the fibers and capturing images of the experiments. The images are then processed with the automated computer vision algorithm. The algorithm is proven to be reliable and repeatable with totally 29 experiments on five different bio-based fiber samples.