Real-time image-based droplet measurement

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buir.contributor.authorElahi, Sepehr
buir.contributor.authorKalantarifard, Ali
buir.contributor.authorKalantarifard, Fatemeh
buir.contributor.authorElbüken, Çağlar
dc.citation.epage87en_US
dc.citation.spage86en_US
dc.contributor.authorElahi, Sepehr
dc.contributor.authorKalantarifard, Ali
dc.contributor.authorKalantarifard, Fatemeh
dc.contributor.authorElbüken, Çağlar
dc.coverage.spatialOnlineen_US
dc.date.accessioned2021-03-05T12:36:45Z
dc.date.available2021-03-05T12:36:45Z
dc.date.issued2020
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.departmentDepartment of Physicsen_US
dc.departmentInstitute of Materials Science and Nanotechnology (UNAM)en_US
dc.descriptionDate of Conference: 4-9 October 2020en_US
dc.descriptionConference Name: 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2020en_US
dc.description.abstractThe ability to measure physical properties of droplets in real-time is required to design precise operations on droplet-based systems. In this study, we implemented a real-time droplet tracker that tracks the positions of droplets and measures droplet generation frequency as well as droplets' physical properties, such as size, size distribution, shape, velocity, circularity. Furthermore, using the droplet length, we use curve fitting to determine the dispersed phase viscosity. Our droplet tracker is implemented in Python, using the OpenCV library and can be run on a routine PC.en_US
dc.description.provenanceSubmitted by Zeynep Aykut (zeynepay@bilkent.edu.tr) on 2021-03-05T12:36:45Z No. of bitstreams: 1 Bilkent-research-paper.pdf: 268963 bytes, checksum: ad2e3a30c8172b573b9662390ed2d3cf (MD5)en
dc.description.provenanceMade available in DSpace on 2021-03-05T12:36:45Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 268963 bytes, checksum: ad2e3a30c8172b573b9662390ed2d3cf (MD5) Previous issue date: 2020en
dc.identifier.isbn9781733419017
dc.identifier.urihttp://hdl.handle.net/11693/75840
dc.language.isoEnglishen_US
dc.publisherChemical and Biological Microsystems Societyen_US
dc.source.titleMicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciencesen_US
dc.subjectMicrodropletsen_US
dc.subjectMicrofluidicsen_US
dc.subjectReal-time image processingen_US
dc.titleReal-time image-based droplet measurementen_US
dc.typeConference Paperen_US

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