Analisis Hasil Elektroforesis DNA dengan Image Processing Menggunakan Metode Gaussian Filter

https://doi.org/10.22146/ijeis.58268

Khairul Anam(1*), Widya Cahyadi(2), Ihsanul Azmi(3), Kartika Senjarini(4), Rike Oktarianti(5)

(1) Universitas Jember
(2) Universitas Jember
(3) Universitas Jember
(4) Program Studi Biologi, FMIPA, Universitas Jember, Jember
(5) Program Studi Biologi, FMIPA, Universitas Jember, Jember
(*) Corresponding Author

Abstract


DNA gel electrophoresis plays an important role in the development of science. However, the process of manually analyzing DNA size is still relatively difficult, time-consuming, and often results an error. This study proposed electrophoresis process using image processing with Gaussian Filter method. Gaussian Filter is used to improve the quality of the image which makes the image clearer. The method was applied using python programming and then embedded into Raspberry pi 3 module. This modul processed images taken by Raspberry pi V1 camera. To realize these taken images, tracking mouse was used. All the images which had been processed were displayed on LCD touchscreen 5 inch. The result shows that the study using Gaussian Filter indicates good performance. This is proved by the lowest error percentage of 0,20% . In addition, compared to previous studies, the largest error percentage is still relatively smaller at 12.41%.


Keywords


Electrophoresis; image processing; Gaussian filter

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References

[1] A. Intarapanich, S. Kaewkamnerd, P. J. Shaw, K. Ukosakit, S. Tragoonrung, and S. Tongsima, “Automatic DNA Diagnosis for 1D Gel Electrophoresis Images using Bio-image Processing Technique,” BMC Genomics, 2015.

[2] N. Firdausi, “Implementasi Elektroforesis DNA ( Deoxyribonucleic-Acid ) Menggunakan Image Processing dengan Logika Fuzzy Result Analysis of DNA ( Deoxyribonucleic-Acid ) Electrophoresis by Using Image Processing with Fuzzy Logic,” 2016.

[3] J.-D. Lee, C.-H. Huang, N.-W. Wang, and C.-S. Lu, “Automatic DNA sequencing for electrophoresis gels using image processing algorithms,” J. Biomed. Sci. Eng., 2011.

[4] H. . Kusumaningrum, W. . Budi, M. Azam, and A. Bawono, “DESIGN OF ELECTROPHORESIS DEVICE FOR OPTIMATION OF DNA VISUALIZATION AND DNA CONCENTRATION USING SOFTWARE,” J. Pendidik. Fis. Indones., 2014.

[5] R. Pratiwi, “Mengenal metode elektroforesis,” Oseana, 2001.

[6] J. H. Zhang, F. Wang, and T. Y. Wang, “A simple and effective SuperBuffer for DNA agarose electrophoresis,” Gene, 2011.

[7] A. F. Arifa, “OPTIMASI ISOLASI DNA DAN PROTOKOL PCR (Polymerase Chain Reaction) UNTUK IDENTIFIKASI KHAMIR DARI SARANG LEBAH MADU Apis mellifera,” 2020.

[8] H. Sunandar, “Perbaikan kualitas Citra Menggunakan Metode Gaussian Filter,” MEANS (Media Inf. Anal. dan Sist., 2017.

[9] M. R. Green and J. Sambrook, “Analysis of DNA by agarose gel electrophoresis,” Cold Spring Harb. Protoc., vol. 2019, no. 1, pp. 6–15, 2019.

[10] M. Sansone, O. Zeni, and G. Esposito, “Automated segmentation of comet assay images using Gaussian filtering and fuzzy clustering,” Med. Biol. Eng. Comput., 2012.

[11] B. M. Gyori, G. Venkatachalam, P. S. Thiagarajan, D. Hsu, and M. V. Clement, “OpenComet: An automated tool for comet assay image analysis,” Redox Biol., 2014.

[12] A. Elen, “Analysis of DNA Gel Electrophoresis Images with Backpropagation Neural Network Based Canny Edge Detection Algorithm,” Int. J. Sci. Technol. Res., no. April, 2016.

[13] A. M. K. W. K. Abeykoon, M. P. C. S. Dhanapala, R. D. Yapa, and S. D. S. S. Sooriyapathirana, “An automated system for analyzing agarose and polyacrylamide gel images,” Ceylon J. Sci. (Biological Sci., 2015.

[14] C. M. R. Caridade, A. R. S. Marçal, T. Mendonça, A. M. Pessoa, and S. Pereira, “An automatic method to identify and extract information of DNA bands in gel electrophoresis images,” in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, 2009.

[15] T. P. Silaban and F. . Ahyaningsih, “PENGARUH PERUBAHAN NILAI PARAMETER TERHADAP NILAI ERROR PADA METODE RUNGE-KUTTA ORDE 3,” KARISMATIKA Kumpul. Artik. Ilmiah, Inform. Stat. Mat. dan Apl., vol. 3, no. 2, pp. 151–165, Aug. 2017.



DOI: https://doi.org/10.22146/ijeis.58268

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