The identification of the actual capillary network in the liver is significant for advancing medical science because it can help elucidate how the liver grows and develops its internal complexity. Although the exact mechanism behind the formation of the liver’s unique 3D capillary network is not fully understood, it is crucial to accurately identify the actual capillary network in the liver to better understand this process. Previous research has involved the manual observation of a 3D skeletonized capillary network in very localized areas. However, wide areas have not been visualized and surveyed quantitatively due to the enormous time and effort required for the manual method. In this paper, we design and implement an algorithm to visualize a 3D skeletonized capillary network over a wide area of the liver.