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dc.contributor.authorGurkan, Güray
dc.contributor.authorGÜRKAN, Koray
dc.date.accessioned2021-12-10T12:13:17Z
dc.date.available2021-12-10T12:13:17Z
dc.identifier.citationGurkan G., GÜRKAN K., "Incu-Stream 1.0: An Open-Hardware Live-Cell Imaging System Based on Inverted Bright-Field Microscopy and Automated Mechanical Scanning for Real-Time and Long-Term Imaging of Microplates in Incubator", IEEE ACCESS, cilt.7, ss.58764-58779, 2019
dc.identifier.issn2169-3536
dc.identifier.othervv_1032021
dc.identifier.otherav_af7b1d90-85c0-47d2-8ced-beb6775fec4d
dc.identifier.urihttp://hdl.handle.net/20.500.12627/173467
dc.identifier.urihttps://avesis.istanbul.edu.tr/api/publication/af7b1d90-85c0-47d2-8ced-beb6775fec4d/file
dc.identifier.urihttps://doi.org/10.1109/access.2019.2914958
dc.description.abstractMicroplate (i.e. microwell plate) is a flat plate that has a specific number of wells to be used as small test tubes in cell-culture studies. In most of the low-budget mammalian cell study laboratories, highly skilled laboratory personnel should determine microscopic changes in microplate well media by taking the microplate outside the incubator and by imaging each well medium under a microscope, with the risk of contamination and reliability degrading. An alternative solution is to use an in-incubator operated live-cell imaging device, which, however, cannot be afforded by low-cost laboratories. In this paper, we present the design, realization, and test stages of a microplate compatible inverted bright-field microscope system that can be used in incubators. The developed system enables real-time and long-term in-incubator imaging of any user-selectable microplate type. The device can capture bright-field microscopic images by using a low-cost CMOS image sensor, an inverted varifocal CCTV lens and an array of light emitting diodes. In addition, by developed two-axial movement stage and image augmenting algorithms, the whole area of a user selectable well (e.g. area of a 6.5 mm diameter well in a 96-well plate) can be automatically imaged without using any other third party software. The long-term performance of the system is tested in incubators with human embryonic kidney and breast cancer cell lines.
dc.language.isoeng
dc.subjectBilgisayar Bilimleri
dc.subjectBilgi Güvenliği ve Güvenilirliği
dc.subjectMühendislik ve Teknoloji
dc.subjectSignal Processing
dc.subjectGeneral Engineering
dc.subjectGeneral Computer Science
dc.subjectEngineering (miscellaneous)
dc.subjectElectrical and Electronic Engineering
dc.subjectComputer Science (miscellaneous)
dc.subjectComputer Networks and Communications
dc.subjectComputer Science Applications
dc.subjectInformation Systems
dc.subjectPhysical Sciences
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectTELEKOMÜNİKASYON
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBilgisayar Bilimi
dc.subjectBİLGİSAYAR BİLİMİ, BİLGİ SİSTEMLERİ
dc.subjectSinyal İşleme
dc.titleIncu-Stream 1.0: An Open-Hardware Live-Cell Imaging System Based on Inverted Bright-Field Microscopy and Automated Mechanical Scanning for Real-Time and Long-Term Imaging of Microplates in Incubator
dc.typeMakale
dc.relation.journalIEEE ACCESS
dc.contributor.departmentİstanbul Kültür Üniversitesi , ,
dc.identifier.volume7
dc.identifier.startpage58764
dc.identifier.endpage58779
dc.contributor.firstauthorID2533085


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