Published Paper Details:

In advanced medical diagnosis system, infertility conditions are detected in early stages with high precision. Sperm count in male is one of the major parameter to determine infertility. One of the challenging tasks is to provide clear cut algorithm and instantaneous results. For possible tests on fertility, it is very essential to determine the sperm cell count, volume of the cell, sperm motility, presence of leukocytes and finally the shape of the sperm. Any abnormal condition affects count, shape, movement and volume of the sperm in semen. � Medical conditions like Oligospermia, Aspermia and Hypospermia affect the sperm cell count. Teratospermia indicates the presence of abnormal morphological sperm when observed from microscope. Asthenozoospermia and Necrospermia affect the movement of the sperm. Presence of huge number of leucocytes in seminal fluid affects sperm motility which is termed as leucospermia. Normozoospermia is a terminology given for normal sperm which is normal in appearance and function and it is a normal characteristic exhibited by semen in seminogram. � Finally an embedded system based approach becomes inevitable to detect the anomalous condition and develop an early diagnosis system for infertility and also evolve the conventional microscope on a large-scale