Analysis of DNA Gel Electrophoresis Images with Backpropagation Neural Network Based Canny Edge Detection Algorithm

Muhammed Kamil Turan, Abdullah Elen, Eftal Sehirli


Gel Electrophoresis (GE) is one of the most used methods which separate nucleic acid and protein molecules according to electric charge, amount of them, molecule weights and other physical features. GE is used in many fields such as genetic, molecular biology and biochemistry. In this paper, Canny edge detection algorithm based on artificial neural network is used to separate and detect DNA bands automatically. Thus, GE analysis of gel electrophoresis period is realized and many properties of DNA bounds like intensity are extracted from digital images automatically.

Keywords: DNA Gel Electrophoresis, Canny Algorithm, Thresholding, Artificial Neural Network.

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ISSN (online) 2422-8702