Discrimination and cell counting of profile of superoxide dismutase (SOD) under hypercholesterolemia using K-means clustering

• Published in: International journal of computer science and information security Vol. 14; no. 5; p. 95
• Main Authors: Djawad, Yasser A, Anwar, Shahzad, Ali, Ihtisham, Mu'nisa, A, ul-Haq, Izhar, Shah, Kamran, Khan, Muh Tahir
• Format: Journal Article
• Language: English
• Published: Pittsburgh L J S Publishing 01.05.2016
• Subjects: Accuracy; Algorithms; Antioxidants; Automation; Blood; Boundaries; Cholesterol; Clustering; Counting; Discrimination; Liver; Medical research; Morphology; Principal components analysis; Rabbits; Researchers; Sod; Studies; Superoxide dismutase
• ISSN: 1947-5500

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 Kmean 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.