Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7116
Title: Otomatik dijital imge analizi kullanılarak manyetik levitasyon platformunda mikroparçaçıkların özkütlelerinin belirlenmesi
Other Titles: Determining densities of microparticles in a magnetic levitation platform using automated digital image analysis
Authors: Tekin, Hüseyin Cumhur
Tekin, Hüseyin Cumhur
Izmir Institute of Technology. Biotechnology and Bioengineering
Keywords: Magnetic levitation
Density measurement
Digital image processing
Microparticles
Özkütle ölçümü
Dijital imge işleme
Mikroparçacıklar
Manyetik levitasyon
Issue Date: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Tekin, H. C. (2018 May 2-5). Determining densities of microparticles in a magnetic levitation platform using automated digital image analysis. Paper presented at the 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. doi:10.1109/SIU.2018.8404755
Abstract: Bu çalışmada mikroparçacıkların özkütlerini belirlemek amacıyla kullanılan manyetik levitasyon platformu için dijital imge analizi yaparak özkütle verilerinin otomatik belirlenmesini sağlayacak bir program sunulmaktadır. Bu program ile, manyetik levitasyon platformundaki imgelerin işlenmesi suretiyle mikroparçacıkların platformdaki pozisyonları belirlenebilmekte ve bu pozisyonlara karşılık gelen özkütle değerleri bulunabilmektedir. Böylelikle mikroparçacıkların özkütleri 0.27 mg/mL çözünürlüğünde otomatik olarak algılanabilmektedir.
In this study, a program, which will allow an automatic determination of density data by performing digital image analysis for a magnetic levitation platform used to determine the densities of microparticles, is presented. With this program, by processing the images of the magnetic levitation platform, the positions of the microparticles on the platform can be determined and the corresponding density values can be found. Thus, the densities of microparticles can be detected automatically at a resolution of 0.27 mg/mL.
URI: http://doi.org/10.1109/SIU.2018.8404755
http://hdl.handle.net/11147/7116
ISBN: 9781538615010
Appears in Collections:Bioengineering / Biyomühendislik
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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