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.accessioned2025-03-23T19:27:42Z
dc.date.available2025-03-23T19:27:42Z
dc.date.issued2022
dc.departmentSinop Üniversitesi
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.
dc.identifier.doi10.17341/gazimmfd.937650
dc.identifier.endpage1018
dc.identifier.issn1300-1884
dc.identifier.issn1304-4915
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85128733430
dc.identifier.scopusqualityQ2
dc.identifier.startpage1003
dc.identifier.trdizinid509293
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/11486/4970
dc.identifier.volume37
dc.identifier.wosWOS:000827262200031
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isotr
dc.publisherGazi Univ, Fac Engineering Architecture
dc.relation.ispartofJournal of the Faculty of Engineering and Architecture of Gazi University
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250323
dc.subjectGel Electrophoresis
dc.subjectimage processing
dc.subjectembedded systems
dc.subjectpython user interface
dc.titleImprovement algorithm application with image processing interface software for the improvement of mini gel electrophoresis images
dc.typeArticle

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