P Srinivasa Varma 01 02 Here the morphological image analysis is applied to screen the size and shape of leukocyte cell nucleusIn order to diagnose hematological illnesses and monitor immunological reactions the nuclei of leukocytes should beproperly diagnosed The methodology uses sophisticated image processing algorithms to stained blood smear imagesto measure the size of the nucleus and determine form characteristics such as normalcy uniformity and circularityof the nucleus Our automated phase contrast system is more accurate and faster than manual examination inanalyzing the leukocyte in addition to reducing the bias observer impact The results prove that the system has thecapability of effectively distinguishing between the morphologies of normal and aberrant leukocytes which aids inearly illness diagnosis The proposed screening tool brings a great contribution to the clinical diagnosis because itallows performing correct and repeatable measurements of morphological images and provides the estimates ofleukocyte nuclear morphology Copyright (c) Journal of Engineering Technology and Sciences. All rights reserved 2026