Several types of tracking algorithms are used in histology, including:
Object-based tracking: Focuses on tracking individual objects, such as cells, across multiple frames. Contour-based tracking: Utilizes the outlines of objects to follow their movement and changes in shape. Feature-based tracking: Relies on specific features, like nucleus or membrane markers, to track cells or structures. Machine learning-based tracking: Employs deep learning techniques to improve accuracy and handle complex biological scenarios.
