Improvement algorithm application with image processing interface software for the improvement of mini gel electrophoresis images

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dc.contributor.authorKavsaoglu, Ahmet Resit
dc.contributor.authorOzkara, Kerim
dc.date.accessioned2024-09-29T16:06:30Z
dc.date.available2024-09-29T16:06:30Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIt is aimed to carry out an experimental study by creating an algorithm function that enables the improvement of gel electrophoresis band images with the help of the Python programming language-based, mini gel electrophoresis system image processing interface. With this system, the analysis of gel images under UV (Ultraviolet) light was made with the designed interface software. The images were transferred to the interface software via the camera and filters were applied to highlight the lanes and bands. The two-term power function, which estimates BP (Base Pair) numbers with the most accurate result, was used. The software can be used on Raspberry Pi 3B+ by being integrated into the mini gel electrophoresis system via Python programming language with OpenCV library. In this study, gel images obtained from the mini gel electrophoresis system controlled by the embedded system were used to estimate the BP numbers of the bands in the images. By importing the gel images from the camera or from the file in the system, the interface software algorithm enabled the estimation of BP numbers in the manual measurements and reducing the average error rates to the range of 0.55% - 0.86%. In the interface software, which enables the calculation of lanes and BP numbers in gel images with the lowest error rate, two-term power function has been applied to the image processing algorithm instead of the two-term exponential function, based on the principle that exponential functions can also be defined as power functions. It has been revealed that the BP values calculated with this two-term power function work in accordance with its purpose with the value of R-2=0.9999533, which shows the closeness of the actual BP values.en_US
dc.identifier.doi10.17341/gazimmfd.937650
dc.identifier.endpage1018en_US
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85128733430en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1003en_US
dc.identifier.trdizinid509293en_US
dc.identifier.urihttps://doi.org/10.17341/gazimmfd.937650
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/509293
dc.identifier.urihttps://hdl.handle.net/20.500.14619/6874
dc.identifier.volume37en_US
dc.identifier.wosWOS:000827262200031en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isotren_US
dc.publisherGazi Univ, Fac Engineering Architectureen_US
dc.relation.ispartofJournal of the Faculty of Engineering and Architecture of Gazi Universityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectGel Electrophoresisen_US
dc.subjectimage processingen_US
dc.subjectembedded systemsen_US
dc.subjectpython user interfaceen_US
dc.titleImprovement algorithm application with image processing interface software for the improvement of mini gel electrophoresis imagesen_US
dc.title.alternativeMini jel elektroforez görüntülerinin iyileştirilmesine yönelik görüntü işleme arayüz yazılımı ile iyileştirme algoritması uygulamasıen_US
dc.typeArticleen_US

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