Qualitative and Quantitative Investigation of Bio Tissues using Microscopy and Data Mining

The effects of glucose and salt on white blood cells, red blood cells, and platelets (PLTs) in the blood of a leukemic patient by using a white light microscope have been investigated for different concentrations (0 mM to 500 mM) of glucose and salt. It has been revealed that the shape of erythrocytes, leukocytes, and platelets changes and forms aggregates. Increasing the concentration of sodium chloride causes an increase in the rouleaux formation and aggregation of platelets. The comparison of CBC reports of these samples with and without analytes shows that total leukocyte count (TLC) decreases gradually towards normal ranges of leukocytes, which is favorable in the treatment of leukemia; at the same time, decreased level of hemoglobin HGB, mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and increased level of red blood cell (RBCs) causes a reduction in the oxygen supply, which is in favor of cancer growth and anemia. In the second set of work, a computer-aided system was planned for automatic classification of ultrasound kidney diseases and ultrasound liver (i.e., cirrhosis). Two types of images were considered normal and chronic. By using the data mining technique, the statistical features were extracted to differentiate between normal and abnormal ultrasonic kidney images. By using feature extraction software (FES), a set of statistical features were extracted from the region of interest of each image at different frame rates. The data sets which were obtained using FES at different frame rates were then classified by using Weka. These extracted feature results were classified by using Weka and a 96.5% correct classification rate was obtained. The difference between the values of these features was useful to identify between normal and abnormal images.