Discrimination and Cel Counting of Superoxide Dismutase (SOD) under Hypercholesterolemia using K-Means Clustering

Djawad, Yasser Abd and Anwar, Shahzad and Ali, Ihtisham and Mu'nisa, A and ul-Haq, Izhar and Shah, Kamran and Khan, Muh Tahir (2016) Discrimination and Cel Counting of Superoxide Dismutase (SOD) under Hypercholesterolemia using K-Means Clustering. International Journal of Computer Science and Information Security (IJCSIS), 14 (5). pp. 95-103. ISSN 1947-5500

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Official URL: https://sites.google.com/site/ijcsis/

Abstract

Clove leaf extract contains high natural antioxidant. In this study, an experiment was conducted to analyse the effect methanol extract of clove leaf on the profile of superoxide dismutase (SOD) in the rabbits liver under hypercholesterolemic condition. Rabbits were divided into three groups i.e (1) negative control group, (2) positive control (hypercholesterolemic) group,which fed diet containing 1% cholesterol for 50 days, and (3)group which was given clove leaf extract and 1% cholesterol simultaneously for 50 days. Contents profile of antioxidant superoxide dismutase in rabbit liver tissue was obtained using immunihistochemical techniques. The images were taken from each group using a microscope to analyse the reaction of clove leaf extract to the cells. The images were processed using K�mean clustering to discriminate the cells after treatment. The cell segmentation was performed to count number of the cells based on their treatment. The cell counting technique then compared with the manual counting. The results demonstrate that the developed technique was a reliable image processing technique which could be used in the cell counting purposes

Item Type: Article
Subjects: FMIPA > BIOLOGI - (S1)
FMIPA
KARYA ILMIAH DOSEN
Universitas Negeri Makassar > KARYA ILMIAH DOSEN
Divisions: KOLEKSI KARYA ILMIAH UPT PERPUSTAKAAN UNM MENURUT FAKULTAS > KARYA ILMIAH DOSEN
KARYA ILMIAH DOSEN
Depositing User: Dr. A. Mu'nisa Syamsu
Date Deposited: 26 Aug 2021 07:29
Last Modified: 26 Aug 2021 07:29
URI: http://eprints.unm.ac.id/id/eprint/20863

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