Publication:
Digital monitoring of the microchannel filling flow dynamics using a non-contactless smartphone-based nano-liter precision flow velocity meter

dc.contributor.coauthorXu, Weiming
dc.contributor.coauthorKöydemir, Hatice Ceylan
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.facultymemberYes
dc.contributor.kuauthorAtik, Abdulkadir Yasin
dc.contributor.kuauthorBeker, Levent
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-12-29T09:41:25Z
dc.date.issued2024
dc.description.abstractMicrofluidic systems find widespread applications in diagnostics, biological research, chemistry, and engineering studies. Among their many critical parameters, flow rate plays a pivotal role in maintaining the functionality of microfluidic systems, including droplet-based microfluidic devices and those used in cell culture. It also significantly influences microfluidic mixing processes. Although various flow rate measurement devices have been developed, the challenge remains in accurately measuring flow rates within customized channels. This paper presents the development of a 3D-printed smartphone-based flow velocity meter. The 3D-printed platform is angled at 30 degrees to achieve transparent flow visualization, and it doesn't require any external optical components such as external lenses and filters. Two LED modules integrated into the platform create a uniform illumination environment for video capture, powered directly by the smartphone. The performance of our platform, combined with a customized video processing algorithm, was assessed in three different channel types: uniform straight channels, straight channels with varying widths, and vessel-like channel patterns to demonstrate its versatility. Our device effectively measured flow velocities from 5.43 mm/s to 24.47 mm/s, with video quality at 1080p resolution and 60 frames per second, for which the measurement range can be extended by adjusting the frame rate. This flow velocity meter can be a useful analytical tool to evaluate and enhance microfluidic channel designs of various lab-on-a-chip applications.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessN/A
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipThe Koydemir Research Group at Texas A & M University acknowledges the support of NSF-funded ERC PATHS -UP (Award No. 1648451) , NSF-SECO (Award No. M2301610) , Department of Defense, Office of Naval Research (ONR) (Award No. N00014-23-1-2225) , Department of Biomedical Engineering at Texas A & M University and Center for Remote Health Technologies and Systems of Texas A & M Engineering Experiment Station.
dc.description.sponsorshipNational Science Foundation (NSF)
dc.description.sponsorshipNSF-SECO
dc.description.sponsorshipUnited States Department of Defense United States Navy Office of Naval Research
dc.description.sponsorshipTexas A and M University College Station
dc.description.sponsorshipCenter for Remote Health Technologies and Systems of Texas A & M Engineering Experiment Station
dc.description.studentonlypublicationNo
dc.description.studentpublicationYes
dc.description.versionN/A
dc.identifier.WoSQuartileQ1
dc.identifier.doi10.1016/j.bios.2024.116130
dc.identifier.eissn1873-4235
dc.identifier.embargoN/A
dc.identifier.grantno1648451
dc.identifier.grantnoM2301610
dc.identifier.grantnoN00014-23-1-2225
dc.identifier.issn0956-5663
dc.identifier.pubmed38417285
dc.identifier.scopus2-s2.0-85185880616
dc.identifier.urihttps://doi.org/10.1016/j.bios.2024.116130
dc.identifier.urihttps://hdl.handle.net/20.500.14288/23637
dc.identifier.volume252
dc.identifier.wos001193956200001
dc.keywordsSmartphone-based
dc.keywordsMicrofluidic device
dc.keywordsFlow velocity meter
dc.keywordsVideo processing
dc.keywordsOptical sensing
dc.language.isoeng
dc.publisherElsevier
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofBiosensors and Bioelectronics
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectBiophysics
dc.subjectBiotechnology and applied microbiology
dc.subjectChemistry
dc.subjectElectrochemistry
dc.subjectNanoscience and nanotechnology
dc.titleDigital monitoring of the microchannel filling flow dynamics using a non-contactless smartphone-based nano-liter precision flow velocity meter
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorAtik, Abdulkadir Yasin
local.contributor.kuauthorBeker, Levent
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